Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar

DoubleML - Double Machine Learning in Python

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…

Synthetic difference in differences

A Python package for causal inference using Synthetic Controls

An index of algorithms for learning causality with data

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Parallel computing with task scheduling

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

What the f*ck Python? 😱

Anki's shared backend and web components, and the Qt frontend

A visual dashboard for model tuning.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Conversion between Traditional and Simplified Chinese

chinese and english corpus process script, python, c++, java

🌻 The collaborative editing software that runs Wikipedia. Mirror from https://gerrit.wikimedia.org/g/mediawiki/core. See https://mediawiki.org/wiki/Developer_access for contributing.

A PyTorch-based knowledge distillation toolkit for natural language processing

Visual Tracking Paper List

Emoji for everyone. https://twemoji.twitter.com/

Public facing notes page

LAPACK development repository

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using MXNet)

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Visual Studio Code