fdtl01

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.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

Huggingface_Toturials

bert-base-chinese example

Transformer_Example

transformers

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

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

tauri

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

clash-verge-rev

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

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

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.

LGG

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

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.

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.

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》)

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

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。

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, ... 🧠

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

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。

Machine-Learning-Note

机器学习笔记

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）

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！

research-method

论文写作与资料分享

pyeeg

Python + EEG/MEG = PyEEG

wechat2pdf

一键下载微信公众号文章PDF版

PlotNeuralNet

Latex code for making neural networks diagrams

netron

Visualizer for neural network, deep learning and machine learning models

Emotion-classifcation-using-EEG-and-RNN

For the final project of our neural networks course, me and my team decided to attempt the classification of human emotion states based on EEG data using recurrent neural networks.