fdtl01

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tauri

Build smaller, faster, and more secure desktop and mobile applications with a web frontend.

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

clash-verge-rev

Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

netron

Visualizer for neural network, deep learning and machine learning models

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

PlotNeuralNet

Latex code for making neural networks diagrams

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

clashfree

clash节点、免费clash节点、免费节点、免费梯子、clash科学上网、clash翻墙、clash订阅链接、clash for Windows、clash教程、免费公益节点、最新clash免费节点订阅地址、clash免费节点每日更新

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

tuning_playbook_zh_cn

一本系统地教你将深度学习模型的性能最大化的战术手册。

research-method

论文写作与资料分享

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

Machine-Learning-Book

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Huggingface_Toturials

bert-base-chinese example

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

Machine-Learning-Note

机器学习笔记

Pre-training-language-model

博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接：https://github.com/nickchen121/Pre-training-language-model 配套博客链接：https://www.cnblogs.com/nickchen121/p/15105048.html

pyeeg

Python + EEG/MEG = PyEEG

Transformer_Example

CS230-Deep-Learning

Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.

LGG

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

multi-task-cnn-eeg-emotion

Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

machine_learning

机器学习笔记，来源于：李航的《统计学习方法》 周志华的《机器学习》 Peter Harrington 的《机器学习实战》 以及Python的 Scikit-Learn 开源库。

Data-Science-cheet-sheets

Cheat sheets for Numpy, Pandas, SQL, Scikit Learn

sklearn

scikit-learn (sklearn) 常用的机器学习，包括回归(Regression)、降维(Dimensionality Reduction)、分类(Classfication)、聚类(Clustering)等方法

wechat2pdf

一键下载微信公众号文章PDF版

4D-CRNN