All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

基于Python的开源量化交易平台开发框架

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Python package built to ease deep learning on graph, on top of existing DL frameworks.

all kinds of text classification models and more with deep learning

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

Papers on Computational Advertising

我的自学笔记，终身更新，当前专注System基础、MLSys。

Simple Tensorflow Cookbook for easy-to-use

On the Variance of the Adaptive Learning Rate and Beyond

兜哥出品 <一本开源的NLP入门书籍>

Super easy library for BERT based NLP models

Text Classification Algorithms: A Survey

Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

Machine learning resources，including algorithm, paper, dataset, example and so on.

中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.

京东商城评价信息数据分析。查看示例：http://awolfly9.com/article/jd_comment_analysis

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

优化后京东抢购脚本，让自己和黄牛站在同一起跑线上。

Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition

Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.