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Birdland is a collaborative filtering recommendation library written in Go. It performs a random walk on a biased user-items bipartite graph to generate user-item pairs, which the recommender processes into recommended items. The project includes sampler and explorer components such as Bird, Emu and Weaver.
Ambrosia is a cross-platform command line tool written in Go for improving text datasets used in machine learning. It offers fast deduplication, filtering, length checking and whitespace trimming, plus an LLM-based filtering option called psort. It ships as a single binary with no dependencies and is pre-1.0 software.
Agency is an open-source GitHub repository maintained by neurocult. It is a Go-language library intended to help developers explore large language models and other generative AI tools through a clean, effective, Go-idiomatic interface. The project provides quick start guides, feature documentation, and tutorials for users.
Meet ANYmal - A robust, autonomous, agile inspection solution with ready-to-go high quality sensors.
Aider LLM Leaderboards presents quantitative benchmarks of LLM code editing skill. The polyglot benchmark tests LLMs on 225 Exercism coding exercises in C++, Go, Java, JavaScript, Python and Rust, and benchmarks evaluate an LLM's ability to follow instructions and edit code without human intervention.
m2cgen is a tool that transforms trained machine learning models into native code across a wide range of programming languages including Java, C, Python, Go, JavaScript, C#, R, PHP, Dart, Haskell, Ruby, F#, and Rust, with zero dependencies. Its codebase is hosted in the BayesWitnesses GitHub repository, which includes navigation for installation, development guidance, supported languages, and supported model types.
OpenRouterTeam is the GitHub organization behind OpenRouter, described as a unified interface for LLMs. The organization publishes open source SDKs for TypeScript, Python and Go, plus agent tooling, and maintains the Mintlify-hosted documentation repository for openrouter.ai/docs.
