yaoweihu's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
iissnan/hexo-theme-next
Elegant theme for Hexo.
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
ctgk/PRML
PRML algorithms implemented in Python
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
billryan/resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
shuhuai007/Machine-Learning-Session
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
NeuronDance/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
zslucky/awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
LMescheder/GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
probabilistic-learning/HI-VAE
d909b/drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
omitakahiro/NeuralNetworkPointProcess
code for "Fully Neural Network based Model for General Temporal Point Processes"
jmikko/fair_ERM
Fair Empirical Risk Minimization (FERM)
sjblim/rmsn_nips_2018