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Fast, Flexible and Portable Structured Generation

Exploratory analysis of Bayesian models with Python

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

Practical course about Large Language Models.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Interpretability and explainability of data and machine learning models

Large-scale LLM inference engine

Reference implementations of MLPerf® training benchmarks

JVector: the most advanced embedded vector search engine

MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering

Synthetic data curation for post-training and structured data extraction

The good ol' Forge WebUI, now updated with new features~

Lightweight and extensible compatibility layer between dataframe libraries!

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Automated Machine Learning on Kubernetes

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Apache Solr open-source search software

Draw datasets from within Python notebooks.

MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion, mixed-CoT, unified RL)

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Machine learning with dataframes

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

A fast and lightweight framework for creating decentralized agents with ease.

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

Reference implementations of MLPerf® inference benchmarks

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Fast Multimodal LLM on Mobile Devices

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

A Data Streaming Library for Efficient Neural Network Training