High performance gradient boosting for Ruby
- machine-learning
- xgboost
- rubyml
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High performance gradient boosting for Ruby
High-performance Swift framework for task execution, memory caching, and data management with intelligent execution merging, TTL caching, and retry logic
High performance gradient boosting for Ruby
Simple and performant utilies using Go generics inspired by JavaScript and Python
Intel Integrated Performance Primitives and Intel Threading Building Block for Delphi RTL
🐝 A Highly Performant and easy to use goroutine pool for Go
High performance utility functions using Generics
A stand-alone Swift wrapper around the mongo-c client library, enabling access to MongoDB servers.
go-fasttld is a high performance effective top level domains (eTLD) extraction module.
Jmeter as code is the easy way to write jmeter test as code.
CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀
High-performance network library for D programming language, event-driven asynchonous implemention(IOCP / kqueue / epoll).
OCaml library for forking child processes to perform work on multiple cores
High performance implementation of Immutable Sequence in JavaScript, based on Finger Tree.
Gatling DSL extensions — feeders, profile management, transactions, assertions, Redis integration, and utility functions
Zero-config, auto-scaling worker pool for Go with priority-aware scheduling, adaptive resource management, and per-task retry logic.