OmniXAI: A Library for eXplainable AI

Uplift modeling and causal inference with machine learning algorithms

3D-aware GANs based on NeRF (arXiv).

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…

Must-read papers and resources related to causal inference and machine (deep) learning

http://vlsiarch.eecs.harvard.edu/research/recommendation/

An implementation of a deep learning recommendation model (DLRM)

A (concise) curated list of awesome Causal Inference resources.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Uplift modeling and causal inference with machine learning algorithms

Resources for Data Science Process management

Code for Kaggle Data Science Competitions

TensorFlow tutorials and best practices.

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

Face recognition using Tensorflow

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

【太阁极客榜 Front-End】Realtime ranking board for BitTiger Github members.

Basic Machine Learning and Deep Learning

R语言忍者秘笈