Version and deploy your ML models following GitOps principles.
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An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Easy-to-use library to boost AI inference.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
An Easy-to-Use and High-Performance AI deployment framework.
Neural networks framework in pure C: training and inference, no dependencies.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
Turns your ML code into microservices with web API, interactive GUI, and more.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
Open-source vector similarity search for Postgres.
MLOps and LLMOps, from the trenches.
Democratize and productionize Gen AI across your entire org with Portkey.
Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.