Awesome Tensorflow 2 💛

A curated list of awesome Tensorflow v2 tutorials, blogs, and projects.

👉 Contents 👈

• What are the advantages of TensorFlow v2 ?
• Official Site
• Tutorials
• SampleCodes/Projects
  • General
  • Specific Model/Task (like GAN,RL,NLP,...)
    • Reinforcement Learning
    • GAN
    • NLP
    • Object Detection
    • Other
• Videos
  • TensorFlow World 2019
  • DevSummit 2019
  • Google I/O 2019
  • TensorFlow YouTube Channel
  • Course
  • Other
• Blog posts
• Other
  • Python wheels
  • Tools
  • #PoweredByTF 2.0 Challenge
  • Books

What are the advantages of TensorFlow v2 ? 👀

• TensorFlow 2 focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model building on any platform
• There are multiple changes in TensorFlow 2 to make TensorFlow users more productive. TensorFlow 2 removes redundant APIs, makes APIs more consistent (Unified RNNs, Unified Optimizers), and better integrates with the Python runtime with Eager execution.

More info here.

TensorFlow 2.3 is now available! 🎉🎉🎉

For Tensrflow version <1.x> see this awesome collection created by jtoy.

Official Site 🏢

• TensorFlow 2.2
• Install (Needs CUDA 10.1 & cuDNN = 7.6)
• Effective_tf2
• Quick Start
• Upgrade guid
• Road map
• FAQ
• Blog

Back to Top

Tutorials 📕 📘 📗 📓

• TensorFlow Tutorial
• Official tutorial
• Deep Learning with TensorFlow 2 and Keras course
• TensorFlow-2.x-Tutorials
• Tensorflow2_tutorials_chinese
• Tensorflow2.0 tutorial from basic to hard
• TensorFlow2.0_Eager_Execution_Tutorials
• Tensorflow 2.0 and Keras: what's new, what's shared, what's different
• Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book
• Deep Learning Crash Course-(S9)

Back to Top

Sample Codes / Projects ⛏️📐📁

General 🚧

• Tensorflow-2.0 Quick Start Guide
• Make Money with Tensorflow 2.0
• Practical intro to tf2
• Tensorflow2.0 examples
• Deep Learning with TensorFlow 2.X (& Keras)
• TensorFlow 2 Machine Learning Cookbook, published by Packt
• Hands On Computer Vision with TensorFlow 2
• Implementing-Deep-Learning-Algorithms-with-TensorFlow-2.0(PacktPub)
• Discovering hidden factors of variation in deep networks
• Tutorial to run TensorFlow 2 on mobile devices: Android, iOS and Browser
• Tensorflow2.x Examples from basic to hard
• Deep-Learning-with-TensorFlow-2.0-in-7-Steps-[Packt]
• Getting-Started-with-TensorFlow-2.0-for-Deep-Learning-Video-[Packt]
• TensorFlow 2.0: A Complete Guide on the Brand New TensorFlow - Udemy Course
• Interpretability Methods for tf.keras models with Tensorflow 2.0
• AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
• Multi-Similarity Loss Re-Implementation in Tensorflow 2.x
• Deep Learning with TensorFlow 2 and Keras - 2nd Edition PacktPub
• Graph Neural Networks in TF2 (TensorFlow 2 library implementing Graph Neural Networks by Microsoft)
• Sarus TF2 Models - A long list of recent generative models implemented in clean, easy to reuse, Tensorflow 2 code (Plain Autoencoder, VAE, VQ-VAE, PixelCNN, Gated PixelCNN, PixelCNN++, PixelSNAIL, Conditional Neural Processes).
• TensorFlow 2 in Action by Manning - Code Repository - Exercises of all the chapters in TensorFlow 2 in Action by Manning
• Activeloop HUB - The fastest way to store, access & manage datasets with version-control for PyTorch/TensorFlow. Works locally or on any cloud. Scalable data pipelines.
• create-tf-app - Project builder command line tool for Tensorflow covering environment management, linting, and logging.

Specific Model/Task (like GAN,RL,NLP,...)

Reinforcement Learning 🔮

• Play Super Mario Games using Reinforcement Learning with TensorFlow 2.0
• TensorFlow2.0 Reinforcement Learning Library!(TF2RL)
• Scalable and Efficient Deep-RL
• Deep Reinforcement Learning with TensorFlow 2.0
• Implemented Policy Gradient in Tensorflow2.0
• TF2 PPO Atari

GAN 🌄

• Generative models in Tensorflow 2
• CycleGAN-Tensorflow-2
• CartoonGAN
• GANs - Tensorflow 2
• Fast-SRGAN (Single Image Super Resolution GAN)
• Enhanced Super-Resolution Generative Adversarial Networks

NLP 🌈

• Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
• Tensorflow 2 implementation of Causal-BERT
• Effective NLP in TensorFlow 2
• Effective Approaches to Attention-based Neural Machine Translation
• BERT in TensorFlow 2
• A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT

Object Detection 🔥

• MobileNet_V3
• YOLO v3
• Tensorflow Object Detection with Tensorflow 2.0
• Yolo v4 using TensorFlow 2.x
• YOLO v3 TensorFlow Lite iOS GPU acceleration
• A simple tf.keras implementation of YOLO v4

Other 🚦

• A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet). <==
• fast and scalable design of risk parity portfolios with TensorFlow 2.0
• Tensorflow 2.0 Realtime Multi-Person Pose Estimation
• Train ResNet on ImageNet in Tensorflow 2.0
• CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
• ArcFace: Additive Angular Margin Loss for Deep Face Recognition
• Pointnet++ modules implemented as tensorflow 2 keras layers
• Edward2 => A lightweight probabilistic programming language in NumPy or TensorFlow
• Attention OCR in Tensorflow 2.0
• An implementation of HTR(Handwritten Text Recognition) using TensorFlow 2.0
• Some state-of-the-art Few Shot Learning algorithms in Tensorflow 2
• Tensorflow2 question-answering (Kaggle)
• Tensorflow 2.0 example
• Single pose estimation for iOS and android using TensorFlow 2.0
• Speech Recognition
• Music transformer
• Handwritten Text Recognition (HTR) system implemented using TensorFlow 2.0
• Meta learning framework with Tensorflow 2.0
• Simple Template for Tensorflow 2.X
• Shortest_triplet_network_with_TF2.0
• Arbitrary Style Transfer in Real-time
• RetinaFace: Single-stage Dense Face Localisation in the Wild
• PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
• An implementation of model-predictive control algorithms using TensorFlow 2
• TensorflowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2

Back to Top

Videos 🎥 📺 📹

TensorFlow World 2019

• PlayList
• Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts

DevSummit

• PlayList 2019
• Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)
• PlayList 2020

Google I/O

• PlayList
• Getting Started with TensorFlow 2.0 (Google I/O'19)

TensorFlow YouTube Channel

• Channel
• Coding TensorFlow
• #AskTensorFlow
• TensorFlow Meets
• Machine Learning Foundations
• Powered by TensorFlow
• Natural Language Processing
• Inside TensorFlow

Course

• TensorFlow 2.0 Full Tutorial - Python Neural Networks for Beginners
• Learning TensorFlow 2.0 (Udemy)
• TensorFlow in Practice Specialization

Other

• GTC Silicon Valley-2019 ID:S9495:An Introduction to TensorFlow 2.0
• Make Money withTensorflow 2.0

Back to Top

Blog posts 📃

• Tensorflow-2-models-migration-and-new-design
• Standardizing on Keras: Guidance on High-level APIs in TensorFlow 2.0
• Test Drive TensorFlow 2.0 Alpha
• Recap of the 2019 TensorFlow Dev Summit
• Upgrading your code to TensorFlow 2.0
• Effective TensorFlow 2.0: Best Practices and What’s Changed
• What are Symbolic and Imperative APIs in TensorFlow 2.0?
• What’s coming in TensorFlow 2.0
• My Notes on TensorFlow 2.0
• Create The Transformer With Tensorflow 2.0
• Fast-SCNN explained and implemented using Tensorflow 2.0
• Image Classification with high-level API of Tensorflow 2.0
• A Transformer Chatbot Tutorial with TensorFlow 2.0
• Easy Image Classification with TensorFlow 2.0
• Implementing an Autoencoder in TensorFlow 2.0
• How to build a wide-and-deep model using Keras in TensorFlow
• Heart Disease Prediction in TensorFlow 2
• Generating Text with TensorFlow 2.0
• Ten Important Updates from TensorFlow 2.0
• TensorFlow 2.0 Global Docs Sprint Cheatsheet
• Announcing the winners of the #PoweredByTF 2.0 Dev Post Challenge
• Analyzing tf.function to discover AutoGraph strengths and subtleties
• Information Theory with Tensorflow 2.0
• Portable Computer Vision: TensorFlow 2.0 on a Raspberry Pi
• From Tensorflow 1.0 to PyTorch & back to Tensorflow 2.0
• Hugging Face: State-of-the-Art Natural Language Processing in ten lines of TensorFlow 2.0

• TensorFlow 2.0 Alpha : Let seek the New in the Old
• Announcing TensorFlow 2.0 Beta
• TensorFlow 2.0 is now available!

Back to Top

Other 🌱

Python wheels 🐍

• Tensorflow 2.1.0 Linux GPU (Compute 7.0, 7.2, 7.5), Python 3.8, CUDA 10.2, cuDNN 7.6, AVX2, MKL, TensorRT 6
• TensorFlow 2.0.0, Python 3.7, Docker Image, no AVX / Nehalem-CPU-Instructionset | Linux x86_64
• Tensorflow v2.0.0, Python 3.7, CUDA 10.0, cuDNN 7.6.4, without AVX, Windows 10 x64
• TensorFlow 2.0, GPU (Compute Compatible 6.1,7.5) , CUDA 10.1, cuDNN 7.6, AVX, Python 3.6, MKL, XLA, CPU i3-8100, Ubuntu 18.04

Tools 🔧

• TensorFlow 2.0 upgrader service
• Tensorflow Hub
• Guild AI

#PoweredByTF 2.0 Challenge 🔫 💣 🏆

• HomePage
• Submissions

Books 📚

• TensorFlow 2.0 Quick Start Guide
• Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
• TensorFlow Machine Learning Cookbook - Second Edition
• Tensorflow 2 in Action

Back to Top

Contributions 📭

Your contributions are always welcome!

If you want to contribute to this list (please do), send me a pull request Also, if you notice that any of the above listed repositories should be deprecated, due to any of the following reasons:

• Repository's owner explicitly say that "this library is not maintained".
• Not committed for long time (2~3 years).

More info on the guidelines

License

Licensed under the Creative Commons CC0 License.