Practical_RL
redisai-examples
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| Practical_RL | redisai-examples | |
|---|---|---|
| 2 | 1 | |
| 5,702 | 54 | |
| 1.0% | - | |
| 6.5 | 0.0 | |
| 6 days ago | 16 days 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.
redisai-examples
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Top 10 Sample Redis Datasets For You
Redis AI Showcase
What are some alternatives?
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
models - Models and examples built with TensorFlow
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
models - A collection of pre-trained, state-of-the-art models in the ONNX format
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
awesome-rl - Reinforcement learning resources curated
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
rl-trading - Using Reinforcement Learning agents as Algorithmic Traders
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
EdgeRealtimeVideoAnalytics - An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)