Open-source alternatives to Learn2learn

This project is a community-driven directory that aggregates and categorizes high-quality technical resources, tools, and learning materials. It functions as a centralized knowledge management repository, designed to help developers navigate the software development landscape by providing structured access to curated lists and external project references. The directory relies on a collaborative, peer-reviewed workflow where external contributors submit and maintain links through a version-controlled system. This community-maintained approach ensures that the information remains current and re

:iphone: A curated list of amazingly awesome Cordova libraries, resources and shiny things.

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

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

A curated list of awesome Erlang libraries, resources and shiny things.

:video_game: :pencil: A list of Game Development resources to make magic happen.

This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated directory for the Go programming language. It organizes a vast landscape of software components, libraries, and development tools into a structured, navigable hierarchy, enabling developers to efficiently discover resources tailored to specific functional domains. The repository distinguishes itself through a decentralized contribution model, where community-driven updates ensure the index remains current with the rapidly evolving software landscape. Beyond simple resource listing,

A curated list of delightful Bash scripts and resources.

JS/TS SDKs for Reflag

A Toolbox for Adversarial Robustness Research

This project serves as a centralized directory and resource hub for extending the functional capabilities of AI agents. It provides a structured collection of tools and integration patterns that enable large language models to interact with external software platforms, facilitating autonomous task execution and data retrieval across a wide range of business applications. The repository distinguishes itself by standardizing communication between AI models and external services through the Model Context Protocol. It utilizes declarative skill manifests and machine-readable tool-calling schemas

Master programming by recreating your favorite technologies from scratch.

Giving Claude ability to run code with E2B via MCP (Model Context Protocol)

A framework for Privacy Preserving Machine Learning