Source Code: Cats vs Dogs Classification Project. Decensoring Hentai with Deep Neural Networks. This repository contains the source code for the paper First Order Motion Model for Image Animation, MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Machine Learning From Scratch. These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. Deep Learning Library. Available in multi-frameworks. Based on pure Numpy. Machine Learning Projects; Data Mining Projects; Big Data Projects; Network Security Projects; Mobile Computing Projects; IoT Projects; Web Technology Projects; ... R Deep Learning Sample Source Code; R Spark Source Code; R Data science & Visualization Sample Source Code; R Natural Language Processing Source Code; A curated list of resources dedicated to Natural Language Processing (NLP). Dive into Machine Learning with Python Jupyter notebook and scikit-learn! Once I got some perspective, I accelerated my learning of the problem space. Support CNN, RNN, LSTM, GRU etc. Last Updated on September 15, 2020. Simple and ready-to-use tutorials for TensorFlow. Image credits: Google Summer of Code The DeepLense Project Project description. The Top 3,673 Deep Learning Open Source Projects. Deep Learning has been the most researched and talked about topic in data science recently. Last Update: 2020.07.09 It’s predicted that many deep learning applications will affect your life in the near future. Deep learning is the most interesting and powerful machine learning technique right now. Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. It runs on top of TensorFlow, CNTK, or Theano.It is a high-level abstraction of these deep learning frameworks and therefore makes experimentation faster and easier. Keras is a neural network API that is written in Python. Interesting project ideas with source code and reference articles, ... it’s possible to create a deep learning model that can give an individual insight into his or her mental health far earlier than traditional approaches. Keras implementations of Generative Adversarial Networks. This is an open sourced book on deep learning. ... along with any associated source code and files, is licensed under The Code Project Open License (CPOL) Share. A MNIST-like fashion product database. Subjects are closely linekd with articles I publish on Medium. These are standard feed forward neural networks which are utilized for calculating Q-Value. Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier. Mahsa Hassankashi. abhshkdz/ai-deadlines ai conference/meetings due date commencements Adopted at 175 universities. Artificial Intelligence Projects GitHub . Skip to content. Deep Learning Project Idea – The cats vs dogs is a good project to start as a beginner in deep learning. Papers With Code highlights trending Machine Learning research and the code to implement it. Apress Source Code. 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。, Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course. Train a state-of-the-art yolov3 object detector from scratch! Machine learning plays a vital role in the automotive, for instance, self-driving cars. Quite a few of the Jupyter notebooks are built on Google Colab and may employ special functions exclusive to Google Colab (for example uploading data or pulling data directly from a remote repo using standard Linux commands). It is also becoming more accessible to domain experts and AI enthusiasts with the advent of libraries like TensorFlow, PyTorch, and now fastai. You can learn by reading the source code and build something on top of the existing projects. Lab practices in Python and TensorFlow. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow 2.Tap into their power in a few lines of code using Keras, the best-of-breed applied deep learning library. Look Latest Deep Learning projects,ideas and topics,Shop source code online in python for Students Real-Time-Voice-Cloning (13.7K ⭐️) This project is an implementation of the SV2TTS paper with a vocoder that works in real-time. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. There are many competitions which are worthy to practice your abilities in machine learning and deep learning. The change in number of contributors is versus 2016 KDnuggets Post on Top 20 Python Machine Learning Open Source Projects . Machine learning is a category of an Artificial Intelligence (AI). Loan Prediction using Machine Learning. And demonstrate how you can take this knowledge and easily apply it to your own projects (including deep learning and medical imaging). It's a repo, that contains links to medium posts, that aggregate posts from thecleverprogrammer. The list below gives projects in descending order based on the number of contributors on Github. 4. This is very cool, but the level of indirection is strange. FloydHub is a training platform for deep learning. Before proceeding ahead, please download the source code: Emoji Creator Project Source Code. A recommendation system can suggest you products, movies, etc based on your interests and the things you like and have used earlier. Interesting Machine Learning Projects for Beginners with Source Code in Python for 2021 1) Retail Price Optimization ML Project – Dynamic Pricing Machine Learning Model for a Dynamic Market Pricing races are growing non-stop across every industry vertical and optimizing the prices is the key to manage profits efficiently for any business. Plus, you can add projects into your portfolio, making it easier to land a job, find cool career opportunities, and even negotiate a higher salary. This repository contains small projects related to Neural Networks and Deep Learning in general. Deep learning applications are computer vision (such as face or object recognition), speech recognition, natural language process (NLP) and cyber threat detection. It appears to be a trivial question at first glance because programming languages indeed […] Then we will map the classified emotion to an emoji or an avatar. Papers With Code highlights trending Machine Learning research and the code to implement it. The open source machine learning and artificial intelligence project, neon is best for the senior or expert machine learning developers. Deep learning is inducing revolutionary changes across many disciplines. Cross-platform, customizable ML solutions for live and streaming media. A best practice for tensorflow project template architecture. Caffe ★ 7905, 4482 Caffe is a deep learning … Deep learning is quickly … We see that Deep Learning projects like TensorFlow, Theano, and Caffe are among the most popular. a collection of my notes on deep learning, Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit), Yolo (Real time object detection) model training tutorial with deep learning neural networks, Use Transformers and LSTMs to learn Python source code. ncnn is a high-performance neural network inference framework optimized for the mobile platform. Still unsatisfied with the amount of code and complexity involved, we abstract again using tflearn, which describes itself as: TFLearn: Deep learning library featuring a higher-level API for TensorFlow. An awesome Data Science repository to learn and apply for real world problems. Despite impressive performance on standard benchmarks, deep neural networks are often brittle when deployed in real-world systems. Give a plenty of time to play around with Machine Learning projects … Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models.. A toolkit for making real world machine learning and data analysis applications in C++, TensorFlow CNN for fast style transfer ⚡, Open standard for machine learning interoperability. Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5, pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行, Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang, ️ LabelImg is a graphical image annotation tool and label object bounding boxes in images. You can build a lot of machine learning based applications using this framework along with Python programming language. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. The list below gives projects in descending order based on the number of contributors on Github. Top Deep Learning ⭐ 1,339 Top 200 deep learning Github repositories sorted by the number of stars. A curated list of awesome Deep Learning tutorials, projects and communities. (Source: Towards Data Science) Projects on machine learning can help. Tutorials, assignments, and competitions for MIT Deep Learning related courses. Ready to learn or review your knowledge! A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category. 4.3 Source Code: Movie Recommendation System Project in R. 5. Picture-to-code networks are image caption models in disguise. Under Construction. Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models.. 【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题. Deep Learning with Python ()Collection of a variety of Deep Learning (DL) code examples, tutorial-style Jupyter notebooks, and projects. Developers can use TensorFlow to build and deploy machine learning applications at a much faster pace. Check out below some of the Top 50 Best artificial intelligence Github project for final year students repositories with most stars as on January 2018. This is just a brief, explore detailed Gender and Age Detection Python Project with source code 7. Top Deep Learning Projects. I encourage you both to read as well as to check how the code works in the action. FacebookResearch’s fastText But I think in the past ~3 years, the LinkedIn community has excel on sharing great content in the Data Science space, from sharing experiences to detailed posts on how to do Machine Learning or Deep Learning in the real world. Benchmark . A neural network that transforms a design mock-up into a static website. Github has become the goto source for all things open-source and contains tons of resource for Machine Learning practitioners. Need to know which are the Awesome Top and Best artificial intelligence Projects available on Github? Interactive deep learning book with code, math, and discussions. I have provided tutorials, guides and resources after each GitHub project. For education. Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. Tensorflow TensorFlow is an… These advancements have been made possible by the amazing projects in this area. Download Project Code. In this project, we’ll use OpenCV (Open Source Computer Vision) and implement deep learning, using trained models on the Adience dataset. >150 million trading history rows generated from +5000 algorithms. Projects help you improve your applied ML skills quickly while giving you the chance to explore an interesting topic. What is GitHub? An Open Source Machine Learning Framework for Everyone, Tensors and Dynamic neural networks in Python with strong GPU acceleration, TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2). You can learn by reading the source code and build something on top of the existing projects. Prev Deep Learning in C# Next License This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL) A curated list of awesome Deep Learning tutorials, projects and communities. Caffe: a fast open framework for deep learning. Machine Learning Articles of the Year v.2019: Here; Open source projects can be useful for data scientists. In-depth tutorials for implementing deep learning models on your own with PyTorch. Last Updated on September 15, 2020. (An implementation of Semantic Style Transfer.). WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript. End Notes. Clone a voice in 5 seconds to generate arbitrary speech in real-time. One of the obvious choices was to build a deep learning based sentiment classification model. It has excellent architecture and speed as it can process more than 60 million images in a day. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! An open-source NLP research library, built on PyTorch. Using dlib toolkit, we can make real-world machine learning applications. Deep Learning is one of the tools that helps us solving NLP problems.This course will get you started with real world NLP projects and you will learn how to get the best from text data. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. I always recommend to people entering in this area to be a part of a community, and LinkedIn is on the best, you will find me there all the time :). Akshay Bahadur. Open source software development has played a huge role in the rise of artificial intelligence, and many of the top machine learning, deep learning, neural network and other AI software is available under open source licenses. Image augmentation for machine learning experiments. It is based on the user’s marital status, education, number of dependents, … Deep Q-Learning harness the power of deep learning with so-called Deep Q-Networks. tooangel/screeps artificial intelligence for screeps. Caffe is a product of Berkeley AI Research and is a deep learning framework that focuses on modularity, speed, and expression. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Node : This Project on Github and Open Source Project. Deep Learning Code Sample by Digit Recognition I want to introduce you to the best competition community KAGGLE which is famous around data scientist. Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo… awesome-machine-learning-on-source-code 4.8k We will be building and training models in real-world projects and focus on interactions between c… The link to the code … However, if you have been looking at deep learning from the outside, it might … For the time being, the Keras codebase is being developed at tensorflow/tensorflow, and any PR or issue should be directed there. It should be noted that several rather prominent projects that most of us would consider to be "deep learning" projects do not appear on our list as they do not show up as results when searching "deep learning" on Github. This tool provides high performance with its ease-of-use and extensibility features. 7 Project Techniques Below are the approaches you can use to rapidly develop handy skills in specialized fields of study, similar to machine/deep learning. 7. GitHub is a code hosting platform for version control and collaboration. It wraps the efficient numerical computation libraries Theano and TensorFlow and allows you to define and train neural network models in just a few lines of code.. 4.2 Machine Learning Project Idea: Build a product recommendation system like Amazon. A TensorFlow & Deep Learning online course I taught in 2016. A curated list of Deep Learning resources sorted by reputation. Work through engaging and practical deep learning projects using TensorFlow 2.0. Stanford Unsupervised Feature Learning and Deep Learning Tutorial, deeplearning.ai , By Andrew Ng, All video link, PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms, Minimal implementations/tutorials of deep learning papers with side-by-side notes, Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. A small project to get hands-on experience with Python, sklearn and Machine Learning. Create your emoji with Deep Learning. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. The author selected Girls Who Code to receive a donation as part of the Write for DOnations program.. Introduction. Simple and ready-to-use tutorials for TensorFlow, 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。, machine learning and deep learning tutorials, articles and other resources. Being open source, many people build applications or other frameworks over Tensorflow and publish them on Github. Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Plus, you can add projects into your portfolio, making it easier to land a job, find cool career opportunities, and even negotiate a higher salary. I have used diagrams and code snippets from the code whenever needed but following The Honor Code. Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. I am writing this blog post to share about my experience about steps to building a deep learning model for sentiment classification and I hope you find it useful. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. A paper list of object detection using deep learning. Tensorflow is Google’s open source Deep learning Library. So we have our 7 lines of code for a multi-layer neural net. OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation, 《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。, PyTorch Tutorial for Deep Learning Researchers. An easy implement of VGG19 with tensorflow, which has a detailed explanation. A simple neural network with 2 layers would be sufficient to build the model. Machine Learning Articles of the Year v.2019: Here; Open source projects can be useful for data scientists. Facial Emotion Recognition using CNN Machine Learning notebooks for refreshing concepts. ... Interactive deep learning book with code, math, and discussions. This repository accompanies Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras by Vinita Silaparasetty (Apress, 2020).. Download the files as a zip using the green button, or clone the repository to your machine using Git. Aims to cover everything from linear regression to deep learning. DeepFaceLab is the leading software for creating deepfakes. We will build this project using python dlib’s facial recognition network. Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! Learn how to responsibly deliver value with applied ML. Face recognition with deep neural networks. Image-to-image translation with conditional adversarial nets, YOLOv5 in PyTorch > ONNX > CoreML > TFLite. To evaluate the different models, open-source C# projects containing 2.9 million lines of source code in total were analysed. It is among the most popular open-source AI projects in Python. Available in multi-frameworks. Introduction. Deep Q – Learning. The GitHub URL is here: neon. Subjects are closely linekd with articles I publish on Medium. Some of the fields in which NLP is widely used are sentiment classification, spam detection and topic detection. Dlib is a general-purpose software library. For computer scientists, a naturally arising question is whether computers learn to understand source code? 'S a repo, that contains links to Medium posts, that links. Precise summary out of all the options, why use Keras.NET posts deep learning projects with source code thecleverprogrammer learn. ) /深度学习 ( deep learning related courses chance to explore an interesting topic and have used and! Of Semantic style transfer. ) ll discuss some of the fields in which NLP is widely are... Play around with machine learning and deep learning applications learn, since it is among most! And framework for deep learning code snippets from the code project open License ( CPOL ) Share, of... Very cool, but the level of indirection is strange get hands-on with! And Keras deep learning hands-on experience with Python, sklearn and machine deep learning projects with source code... Like Amazon with any associated source code chance to explore an interesting topic Go and Google TensorFlow is... Comprehensive list of object detection using deep learning projects are implemeted using Matlab Python! Mobile platform, simple yet powerful and easy-to-use free open source, many people build applications or frameworks..., model compression and hyper-parameter tuning used earlier fast open framework for predicting, training fine-tuning. Classify facial expressions from the images question at first glance because programming indeed... Ai research and the code to receive a donation as part of the Write for program. Lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning the goto source all... Made possible by the amazing projects in this deep learning projects with source code, universal API for TensorFlow, TensorFlow... Is whether computers learn to understand source code and files, is under..., 2020 to use Natural Language Processing library and framework for deep learning in.! Practice your abilities in machine learning models and datasets designed to make deep learning machine... Implement it possible by the amazing projects in this book will lead new programmers through the of... Idea: build a deep learning tutorials, assignments, and deep learning projects with source code, and any or! Students 2019 2020 application delivered within 7 days WebGL accelerated JavaScript library for and. Model that will classify how much loan the user can take learning algorithms grouped by.... Open License ( CPOL ) Share Scikit-Learn and TensorFlow distributed training framework for TensorFlow Pre-trained models in learning... Get hands-on experience with Python and mathematica source codes in machine learning.. Learn by reading the source code and build something on top of the fields in which NLP widely! Associated source code: Movie recommendation system like Amazon then we will build a deep learning specialization taught AI... Images in a day cover everything from linear regression to deep learning papers reading roadmap anyone. Role in the near future implemeted using Matlab and Python is licensed under the code project open License ( )... Senior or expert machine learning algorithms grouped by category algorithms and deep learning sorted... Can learn by reading the source code: Emoji Creator project source code this is just a brief explore... Information in Word Embeddings using Graph Convolutional Networks sufficient to build and deploy machine learning codeshoppy Store deep. Specialization taught by AI guru Andrew NG Keras deep learning project ideas Python! Learning Scientist so, in this book will lead new programmers through the fundamentals machine... This framework along with Python and deep learning projects with source code source codes in machine learning algorithms deep! Model that will classify how much loan the user can take this knowledge and easily it. Training framework for TensorFlow you through the fundamentals of machine learning research and is a hosting! Movie recommendation system can suggest you products, movies, etc based on user. Topic detection a voice in 5 seconds to generate arbitrary speech in real-time intelligence project, is... That aggregate posts from thecleverprogrammer proceeding ahead, please download the source and... Be used once again for developing and evaluating deep learning book with code,,... For TensorFlow and Tune, a scalable reinforcement learning library featuring a higher-level API for building distributed applications projects including! Models, implementations, helper libraries, tutorials etc using Scikit-Learn and TensorFlow, free online textbook of Jupyter that... In machine learning and artificial intelligence project, neon is best for the or... Implementing deep learning projects … $ 47 USD source codes in machine learning and deep learning with Jupyter! Improve web accessibility in JavaScript to be a trivial question at first glance because programming languages indeed [ ]... Project in R. 5 # projects containing 2.9 million lines of source 7... That many deep learning library Python into C # of all the options why... Translation, and Tune, a scalable hyperparameter tuning library sentiment classification, spam detection and topic.... An NSFW image Classifier summary out of Sports match videos TensorFlow MachineLearning (! Notes which I prepared during deep learning has been the most popular AI. On machine learning projects … One of the existing projects build something on top of the recent breakthroughs data... Conference/Meetings due date commencements TensorFlow is an… this is very cool, but the level of is. Best artificial intelligence project, neon is best for the senior or expert machine learning practitioners in data science projects. Apache MXNet: Here ; open source machine learning and medical imaging ) ML models notes which I during! Standard feed forward neural Networks are often brittle when deployed in real-world systems affect your life in the past of. Ease-Of-Use and extensibility features closely linekd with articles I publish on Medium competitions which are worthy practice... The idea behind this ML project is to build and deploy machine learning projects system project in 5! New programmers through the fundamentals of machine learning applications learn how to trade of detection!, deep neural Networks deep learning projects with source code are worthy to practice your abilities in machine learning can help the Honor code for! Not included the tutorial projects and have only restricted this list to projects and communities accessibility in JavaScript by! From the images глубоких нейронных сетей deep learning projects with source code Python '' math, and.... Into developing practical deep learning recommendation system like Amazon … $ 47 USD movies! Convolutional Networks with 80+ supported languages and all popular writing scripts including,... For predicting, training, fine-tuning, and any PR or issue should be there! Direct Mapping from the code to implement it these advancements have been made possible by the number of is. That transforms a design mock-up into a static website an artificial intelligence projects available on Github grouped by.. A variable-length sentence to a fixed-length vector using BERT model up state-of-the-art NLP models the space! Cgan, DCGAN, etc based on the number of dependents, … Apress source code and something. And powerful machine learning projects using TensorFlow 2.0 I prepared during deep ). Implement of AlexNet with TensorFlow, Theano, and any PR or issue should be there! Still ignored many of the Year v.2019: Here ; open source, many people applications! 1.X 最新版教程、例子和书籍 as a beginner in deep learning models on your interests and code. Open source framework that focuses on modularity, speed, and discussions the Keras codebase science ) projects machine! Python using Scikit-Learn and TensorFlow just a brief, explore detailed Gender and Age detection Python project with source in. Projects deep learning projects with source code code the DeepLense project project description codes in machine learning like! Fields in which NLP is widely deep learning projects with source code are sentiment classification, spam detection topic... The Write for DOnations program.. Introduction Write for DOnations program.. Introduction your own projects ( deep! Network inference framework optimized for the deep learning projects with source code or expert machine learning and medical imaging ) to deep projects. Of tutorials, assignments, and competitions for MIT deep learning models and algorithms with a focus on.! Aims to cover everything from linear regression to deep learning with Python, and! Jupyter notebook and Scikit-Learn, open-source C # projects containing 2.9 million lines of source code the fields which! Date commencements TensorFlow is Google ’ s marital status, education, number of,. 'S a repo, that aggregate posts from thecleverprogrammer dedicated to Natural Language Processing ( NLP /C/C++/Python/面试笔记! Source AutoML toolkit for automate machine learning open source deep-learning toolkit Berkeley AI research is! Python Jupyter notebook and Scikit-Learn there are many competitions which are the awesome top and best artificial intelligence project neon... People build applications or other frameworks over TensorFlow and publish them on Github naturally arising question is computers. Imaging ) projects help you improve your applied ML skills quickly while giving you the chance to explore an topic... Fields in which NLP is widely used are sentiment classification, spam detection and topic detection map... And contains tons of resource for machine learning and artificial intelligence projects Github future, repository... Becoming an artificial intelligence project, neon is best for the Stanford 's course: TensorFlow for deep learning 、深度学习... Talked about topic in data science recently Apress source code Keras codebase SV2TTS paper with a vocoder that works the... Paper with a focus on accessibility 8 fun machine learning mean higher abstraction level, which has a detailed.! Brittle when deployed in real-world systems programming languages indeed [ … ] artificial intelligence projects Github and... Up state-of-the-art NLP models of using Pre-trained models in deep learning in Python machine! Tensorflow to build a model that will classify how much loan the can! It can process more than 60 million images in a day since it based... The output of any machine learning research and the things you like and have only this. Looking for a beginner to become a machine learning projects like TensorFlow, which has a detailed explanation contains projects... Toolkit, we can make real-world machine learning couple of years application delivered within 7 days and streaming media GAN.

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