Starred repositories
raullenchai / awesome-mlx
Forked from antranapp/awesome-mlxA curated list of awesome projects, tools, and resources for Apple MLX — the ML framework for Apple Silicon
Lightweight GUI for managing Bhyve, Jails, ZFS, networking, and more on FreeBSD
Go LSP helper library support 3.17 of the LSP specification
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
Arabic cleaning, normalization and segmentation library.
Configurable Text normaliser and tokeniser for Arabic texts. It normalises diacritics, Hamaza, digits, etc. It tokenises punctuation, digits, etc from text. It enforces text standard in several asp…
Document Information Extraction & Anonymization using local LLMs
The fastest macOS package manager. Written in Zig. 3ms warm installs.
Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.
Running a big model on a small laptop
A Go package for parsing Extended DateTime Format dates.
R's data.table package extends data.frame:
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
Drone Log analyzer: A high-performance universal dashboard application for organizing and analyzing DJI/Litchi flight logs privately in one place. Built with Tauri v2, DuckDB, and React.
DHIS 2 Core. Written in Java. Contains the service layer and Web API.
An open-source, AI-integrated, cross-platform terminal for seamless workflows
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
jamovi - open software to bridge the gap between researcher and statistician
Statistical Rethinking course and book package
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.