hanzhaoml

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

cryptofeed

Cryptocurrency Exchange Websocket Data Feed Handler

gemini

Gemini is a modern LaTex beamerposter theme 🖼

awesome-theoretical-computer-science

The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.

awesome-spn

A structured list of resources about Sum-Product Networks (SPNs)

fairness-comparison

Comparing fairness-aware machine learning techniques.

Adaptive-Regularization-Neural-Network

[NeurIPS'19] [PyTorch] Adaptive Regularization in NN

multi-task-learning

Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

ML-Finance_Group

GAL

[ICML 2021] Information Obfuscation of Graph Neural Networks

Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift

Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

yannopt

Optimization Algorithms in Python

ISR

Invariant-feature Subspace Recovery (ISR)

Pointwise_Dependency_Neural_Estimation

ampo

fair-classification

Code for “Fair and Optimal Classification via Post-Processing”.

Understanding-and-Mitigating-Accuracy-Disparity-in-Regression

SPN

StrategyProof_Conference_Review

Code and data for Strategyproof Conference Peer Review