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Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

FastAPI framework to build production-grade LLM applications.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Neural network inference from the command line, implemented in CHICKEN Scheme.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A chat LLM based on the state-space model architecture.

A model-agnostic visual debugging tool for machine learning.

Small Language Model tailored for edge devices.

A platform for deploying and serving machine learning models.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.

Version and deploy your ML models following GitOps principles.

Open source MLOps platform that helps you collaborate, reproduce and share your ML work.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Framework that implements AutoML algorithms for model architecture search at scale.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.