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Code used to create the Medium blog post.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

A site that displays up to date COVID-19 stats, powered by fastpages.

A hyperparameter optimization framework

Examples for https://github.com/optuna/optuna

Dotfiles manager

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

A flexible framework of neural networks for deep learning

NumFOCUS Google Summer of Code Materials

Create backport PR automatically

A Python library for learning and evaluating knowledge graph embeddings

TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!

超参数优化框架Optuna的中文文档

An open-source NLP research library, built on PyTorch.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

High-level library to help with training neural networks in PyTorch

The fastai deep learning library, plus lessons and tutorials

Deep Learning for humans

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, Flink and DataFlow

Functional 5e Creature List

The test scripts for chainer and cupy

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

Typed interactions with the GitHub API v3

Obstacle Tower Environment

NumPy-like API accelerated with CUDA

Framework for THE RESISTANCE board & card game, with various AI bots.

The official website of Chainer (chainer/chainer)

PARTY OR DIE

Demo of running NNs across different frameworks

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