Deep-Learning-for-BCI VS gdrl

Compare Deep-Learning-for-BCI vs gdrl and see what are their differences.

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Deep-Learning-for-BCI gdrl
1 1
157 747
- -
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Deep-Learning-for-BCI

Posts with mentions or reviews of Deep-Learning-for-BCI. We have used some of these posts to build our list of alternatives and similar projects.
  • Beginner projects
    1 project | /r/compmathneuro | 6 Jun 2021
    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

Posts with mentions or reviews of gdrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.

What are some alternatives?

When comparing Deep-Learning-for-BCI and gdrl you can also consider the following projects:

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