Awesome Tensorflow 2 ๐ 
A curated list of awesome Tensorflow v2 tutorials, blogs, and projects.
๐ Contents ๐
- What are the advantages of TensorFlow v2 ?
- Official Site
- Tutorials
- SampleCodes/Projects
- Videos
- Blog posts
- Other
What are the advantages of TensorFlow v2 ? ๐
- 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! ๐๐๐
For Tensrflow version <1.x> see this awesome collection created by jtoy.
Official Site ๐ข
- TensorFlow 2.2
- Install (Needs CUDA 10.1 & cuDNN = 7.6)
- Effective_tf2
- Quick Start
- Upgrade guid
- Road map
- FAQ
- Blog
Back to TopTutorials ๐ ๐ ๐ ๐
- 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)
Sample Codes / Projects โ๏ธ๐๐
General ๐ง
- 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 ๐ฎ
- 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 ๐
- 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 ๐
- 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 ๐ฅ
- 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 ๐ฆ
- 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
Videos ๐ฅ ๐บ ๐น
TensorFlow World 2019
DevSummit
Google I/O
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
Blog posts ๐
- 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 Whatโs Changed
- What are Symbolic and Imperative APIs in TensorFlow 2.0?
- Whatโs 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!
Other ๐ฑ
Python wheels ๐
- 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 ๐ง
#PoweredByTF 2.0 Challenge ๐ซ ๐ฃ ๐
Books ๐
- 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
Contributions ๐ญ
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.