Deep-Learning-for-BCI
gdrl
Deep-Learning-for-BCI | gdrl | |
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1 | 1 | |
157 | 747 | |
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0.0 | 10.0 | |
over 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
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Deep-Learning-for-BCI
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Beginner projects
If you haven't already, I highly recommend learning about models that are used for analysis of EEG/ECoG data. This repo is a really good start.
gdrl
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How to proceed further? (Learning RL)
I would recommend looking at Grokking Deep RL if you are looking for some hands on DRL practice in python without starting completely from scratch. You can find some of the jupyter notebooks here.
What are some alternatives?
deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
World4AI - World4AI is an educational resource for AI.
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Practical_RL - A course in reinforcement learning in the wild
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
avalon - A 3D video game environment and benchmark designed from scratch for reinforcement learning research