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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.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Entitas is a super fast Entity Component System (ECS) Framework specifically made for C# and Unity

《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

  • accelerator
  • ai-infra
  • ai-infrastructure
  • book

A curated list of awesome .NET Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors. Inspired by awesome-... stuff.

High Performance data structures and utility methods for Java

  • java
  • performance

Android performance optimization tutorials, videos and tools list(Android性能优化视频,文档以及工具)

  • android-performance
  • android
  • performance-optimization
  • memory-leak

Concurrency primitives, safe memory reclamation mechanisms and non-blocking (including lock-free) data structures designed to aid in the research, design and implementation of high performance concurrent systems developed in C99+.

A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.

A curated list of awesome loosely performance related JVM stuff. Inspired by awesome-python.