Graph Neural Network Library for PyTorch.
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Benchmarking Large Language Models.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Works with speech, voice, music or other audio using machine-learning models.
CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.
Fast and simple framework for building and running distributed applications.
Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
React.js Isomorphic Web Application Architecture - Learn to build a complete website for a blogging platform like Medium, FreeCodeCamp, MindOrks etc using React.js, Redux, Material-UI, Express.js, Typescript, Webpack, Babel, and Docker. OpenSource project by AfterAcademy
A C library for product recommendations/suggestions using collaborative filtering (CF).
Bayesian optimization in high-dimensions via random embedding.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Extensible system for analyzing and manipulating natural language.
Testing infrastructure for LLM and agentic applications with collaborative evaluation.
Robust Bayesian Optimization framework.
Open-source software for robot simulation, integrated with OpenAI Gym.
Text processing tools and wrappers (e.g. Vowpal Wabbit).
Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
A tool to help you configure, organize, log and reproduce experiments.
For calculating global feature importance using Shapley values.