本人的科研经验

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…

TorchEEG is a library built on PyTorch for EEG signal analysis.

深度学习经典、新论文逐段精读

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

😎 Awesome lists about all kinds of interesting topics

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Framework for building a closed loop neurofeedback system.

⏰ AI conference deadline countdowns

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

PyTorch deep learning projects made easy.

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

A collection of various deep learning architectures, models, and tips

Curated Collection of BCI resources

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

A list of all public EEG-datasets

PyTorch Tutorial for Deep Learning Researchers

GraphGallery is a gallery of state-of-the-art Graph Neural Networks (GNNs) for TensorFlow 2.x and PyTorch.

Markdown 基本语法。