Practical_RL
TensorFlow-Tutorials
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| Practical_RL | TensorFlow-Tutorials | |
|---|---|---|
| 2 | 2 | |
| 5,702 | 9,250 | |
| 1.0% | - | |
| 6.5 | 0.0 | |
| 6 days ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| The Unlicense | MIT License |
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Practical_RL
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Alternatives to OpenAI’s spinning up?
there is this great github repo where there are lectures and other resources, and have a week by week jupyter notebooks where they explain and code with homeworks at the very end of it. is basics and deepRL, but just dqn and DDPG/ppo but i think will give you good start in the topic for later star working on your own.
TensorFlow-Tutorials
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Plagiarism is just bad
The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
What are some alternatives?
car-damage-detection - Detectron2 for car damage detection using custom dataset
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
awesome-rl - Reinforcement learning resources curated
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
redisai-examples - RedisAI showcase
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0