Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

PyTorch tutorials and best practices.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

JSON for Modern C++

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

List of tools & datasets for anomaly detection on time-series data.

A formatter for Python files

100 Days of ML Coding

Dive into machine learning system, start from reinventing the wheel.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Python Implementation of Reinforcement Learning: An Introduction

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

mysql分库分表中间件

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

A library for efficient similarity search and clustering of dense vectors.

A collection of Scala best practices

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Learning for humans

Oxford Deep NLP 2017 course

Minimal and clean examples of machine learning algorithms implementations

A topic-centric list of HQ open datasets.

XGBoost Feature Interactions & Importance

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mapreduce in bash

map/reduce in bash

Automatically exported from code.google.com/p/cuda-convnet2

header only, dependency-free deep learning framework in C++14