Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
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Algorithms for explaining machine learning models
music streaming server / free-software subsonic server API implementation
A simple GTK based notification daemon for any Wayland compositor
Native alert from Apple Music & Feedback. Contains Done, Heart & Message and other presets.
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
Testcontainers is a NodeJS library that supports tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
music21: a Toolkit for Computer-Aided Musical Analysis and Computational Musicology
Phishing Campaign Toolkit
Run multiple websites using the same Laravel installation while keeping tenant specific data separated for fully independent multi-domain setups, previously github.com/hyn/multi-tenant
Fava - web interface for Beancount
[NeurIPS 2026] Safety failures in coding agents and frontier LLMs. Reproducible workspaces for studying when AI agents generate unsafe data during task completion.
Run GLM-5.3-Flash (321B), DeepSeek-V4.1-Flash (748B) and MiniMax-M3.1-Flash (428B) on your own GPUs - one engine, one dashboard, OpenAI- and Anthropic-compatible API.
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
NOT MAINTAINED
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/doc/gSscJkc5Rb1Rw45gh1o1Yc
TranslatedOpen-source Quant Skills & Agents for AI-driven research, backtesting, risk and trading automation.——Panoramic navigator for the QuantSkills organization
Eleven free Claude skills that test a business before you launch it: a board trained on Hormozi, Thiel and Jobs, a marketing director, a CFO, and a consumer panel of 100 buyer agents. Free, MIT.
OpenAPI specification for the OpenAI API
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log-like data
High level asynchronous concurrency and networking framework that works on top of either Trio or asyncio
Async/await first CQRS+ES and DDD framework for .NET
Go bindings for raylib, a simple and easy-to-use library to enjoy videogames programming.