Projects sharing features with Awesome Python Data Science

This project is a curated directory of resources, libraries, and frameworks designed to support the development, training, and deployment of neural network models. It serves as a comprehensive guide for navigating the machine learning ecosystem, providing structured access to software utilities and research materials. The directory distinguishes itself by aggregating tools across the entire machine learning lifecycle, ranging from data management and experiment tracking to production-ready model deployment. It functions as a central hub for discovering both foundational academic research and

A curated list of community detection research papers with implementations.

Awesome Online Machine Learning

A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.

list of useful links for clojurians

A curated list of awesome Common Lisp learning resources

This awesome list is dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs.

awesome typescript open source projects, includes IDE, Framework, Library, Tool

:star: A curated list of awesome Imba frameworks, libraries, software and resources

A curated list of Vala projects

A curated list of awesome Lua frameworks, libraries and software.

This project is a centralized directory and resource manager for artificial intelligence-driven software engineering tools. It functions as a curated registry that aggregates extensions, automated workflows, and development resources, providing a structured database for developers to discover and implement AI-assisted coding solutions. The system distinguishes itself through a suite of automated maintenance utilities that ensure the integrity and currency of the curated data. It employs background processes to validate external links, synchronize remote repository information, and manage reso

A curated list of Q# code and resources.

Useful resources for working with RxJava

A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.

:star2: A collection of awesome TypeScript resources.

A collection of research papers on decision, classification and regression trees with implementations.

A curated list of data mining papers about fraud detection.

30-seconds-of-code is a comprehensive knowledge base and programming snippet library designed to support software engineering education and professional development. It provides a curated collection of reusable code units and technical guides that help developers master core language mechanics, design patterns, and architectural philosophies. The project distinguishes itself by offering a wide-ranging library of algorithmic solutions and web development patterns that are organized into modular, independently testable units. It emphasizes functional programming paradigms and declarative logic,

This repository serves as a comprehensive educational collection of industry-standard software design patterns and architectural principles implemented in Java. It functions as a structured reference for developers to study and apply proven strategies for building maintainable, object-oriented systems. The project acts as a knowledge base for software engineering, offering a curated set of programming heuristics and best practices. By providing ready-to-use implementations of standard design patterns, it enables developers to address common programming challenges and improve code modularity t

A collection of vision-language-action model post-training methods.

A curated list of Monte Carlo tree search papers with implementations.

:dancers: Awesome Koa.js Web Framework

Software for humanities scholars using quantitative or computational methods.

A curated list of awesome Coq libraries, plugins, tools, verification projects, and resources maintainer=@palmskog

:fire: Learn some Swift