tokenmw Goto Github PK

ai-deadlines

:alarm_clock: AI conference deadline countdowns

algorithm-pattern

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~

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-bci

Curated Collection of BCI resources

closedloop

Framework for building a closed loop neurofeedback system.

d2l-en

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

d2l-zh

《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。

deep-learning-with-pytorch-chinese

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。

deeplearning-models

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

deeplearningtheory

dive-into-dl-tensorflow2.0

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

doing_the_phd

eeg-datasets

A list of all public EEG-datasets

eeg-dl

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

eeg-notebooks

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

eegraph

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

graphgallery

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

learning_research

本人的科研经验

machine-learning-interview-enlightener

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

markdown

Markdown 基本语法。

ml-visuals

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

nni

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

paper-reading

深度学习经典、新论文逐段精读

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-template

PyTorch deep learning projects made easy.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

redunet

snn_benchmark

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)