A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine c…

腾讯高性能分布式图计算框架Plato

A Monte Carlo Tree Search library for C++

Open Datasets example notebooks

A tutorial demonstrating how to implement deep learning models for time series forecasting

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Uplift modeling and causal inference with machine learning algorithms

Apache Flink

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.

Getting Started with Spring Boot 3:

AutoML library for deep learning

Linux kernel source tree

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Statsmodels: statistical modeling and econometrics in Python

bvar with om

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.