Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
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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.
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.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
Provides containers to encapsulate and deploy EdgeML pipelines and applications.
MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
Lets you create apps for your ML projects with deceptively simple Python scripts.