GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
- golang
- go
- machine-learning
- stats
47,133 repositories indexed
19,585–19,608 of 22,392 · Most stars
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
⚡️ WebExtension Vite Starter Template with Preact
Mako templating system bindings for the Pyramid web framework
Administration tool for Ravenports
Crystal shard wrapping libgphoto2
Simple implementation of a quest system on dotnet with an interface for godot
Dataset for NLG which contains preceding context along with each generation instance
Docker-Sentinel: container update orchestration with manual approval queues
Transform Git history: rewrite, clean, and optimize your repositories with ease.
TranslatedA GitHub Action that shows Solved.ac profile information as a GitHub Gist
Quantum-resistent asymmetric key generation tool for digital signatures.
Kotlin recursion schemes with Arrow
A simple to use shallow ETag plug
Crystal C bindings for cmark-gfm to work with Commonmark and Github Flavored Markdown
A generator to create new imba project faster.
a weirdly addictive arcade-style android game, where you fling fruit at a wall.
Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data
MicroPython library for the ESP8266 Geiger counter described here: https://hackaday.io/project/12933-esp8266-geiger-counter
Pulsar is a vibrant, cosmic-inspired dark theme for Omarchy that captures the brilliant energy of neutron stars and celestial phenomena.
Configurable status bar for Claude Code: usage limits with pacing markers, context window, git state, live activity, session cost, and 8 colour themes. Pure bash, zero dependencies.
FUlly Decoupled Generic Environment for Substrate-chains
Type-safe reactive state management for Go, inspired by Angular Signals. Zero allocations, thread-safe, production-ready.
Translate docker run and docker compose file to Infrastructure as Code
lecture notes for probabilistic topic models using ipython notebook