Practical_RL
| workshop_pybrain | Practical_RL | |
|---|---|---|
| 1 | 2 | |
| 49 | 5,753 | |
| - | 1.1% | |
| 3.1 | 6.0 | |
| about 1 year ago | 27 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | The Unlicense |
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workshop_pybrain
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Any resources on CNN for neuroimaging?
I haven't looked into it in details, but you might want to check out this repo. With regards to good introduction courses or readings, I would shamelessly plug a workshop I gave last year at Cambridge, see here which covers a lot of different neuroimaging toolboxes.
Practical_RL
- [D] implementation of MCTS in Python
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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.
What are some alternatives?
predicting_Alzheimers_from_MRI - Predicting Alzheimer's disease from MRI images and patient demographic information
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
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
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
redisai-examples - RedisAI showcase
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
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.
rl-trading - Using Reinforcement Learning agents as Algorithmic Traders
AIrsenal - Machine learning Fantasy Premier League team
awesome-RLHF - A curated list of reinforcement learning with human feedback resources (continually updated)