Awesome Opensource Ai

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

AutoML library for deep learning

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Kimi Code CLI is your next CLI agent.

Apache Iceberg

ModelScope: bring the notion of Model-as-a-Service to life.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

🤖 AI Gateway | AI Native API Gateway

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

No description.

Apache Beam is a unified programming model for Batch and Streaming data processing.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Build effective agents using Model Context Protocol and simple workflow patterns

AI Toolkit for Healthcare Imaging

the LLM vulnerability scanner

Accessible large language models via k-bit quantization for PyTorch.

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

A vector search SQLite extension that runs anywhere!

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Unified framework for robot learning built on NVIDIA Isaac Sim

An open source python library for automated feature engineering

Utilities intended for use with Llama models.

FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀

A Datacenter Scale Distributed Inference Serving Framework

slime is an LLM post-training framework for RL Scaling.

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Flax is a neural network library for JAX that is designed for flexibility.

SkyReels-V2: Infinite-length Film Generative model

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Adding guardrails to large language models.

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

lightweight, standalone C++ inference engine for Google's Gemma models.

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Fit interpretable models. Explain blackbox machine learning.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

No description.

the portable Python dataframe library