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nlp_summary

自然语言处理

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

note-machine-learning-a-probabilistic-perspective

reading notes

notes-machine-learning

鉴于我没有时间继续写这个东西，这个项目暂时废止

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

open-source-machine-learning-degree

Learn machine learning for free, because free is better than not-free.

osqp

The Operator Splitting QP Solver

paper_everyday

mark the reaeded paper eceryday

papers

Collection of papers

plotneuralnet

Latex code for making neural networks diagrams

prmlt

Matlab code for machine learning algorithms in book PRML

psych10-book

Source files for Statistical Thinking For the 21st Century

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python

All Algorithms implemented in Python

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-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast, 莫烦Python中文教学

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

ratemysupervisor

永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台

recommendations

MATLAB code based on "Making Recommendations" chapter of "Collective Intelligence" book by Toby Segaran

scigen

An automatic paper generator

shearlet_for_snapshot_compressive_imaging

Exploit the sparsity in a shearlet transform to accelerate the decoding for Snapshot Compressive Imaging cameras.

sinaweibopy

新浪微博Python SDK

spectralnet

Deep network that performs spectral clustering

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stanfordquadruped

starter-hugo-academic

🎓 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

subspace-clustering

mainly aimed at scalable subspace clustering

tai_2021_animc

Code for TAI 2021 paper: ANIMC: A Soft Approach for Auto-weighted Noisy and Incomplete Multi-view Clustering