Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
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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.
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.
Image monitoring service for finding unauthorized image use and managing copyright claims.
Democratize and productionize Gen AI across your entire org with Portkey.
Scans for exposed personal information and submits removal requests to covered data brokers, people-search sites, and other sources.
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.
Provides containers to encapsulate and deploy EdgeML pipelines and applications.
Search atmospheric, oceanography and climate data collections and supporting geospatial data from DEU.
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.
Ship tracking map for monitoring vessels, AIS positions, ports, and maritime routes.
Startup tracking platform for monitoring companies, funding, products, and growth signals.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
Lets you create apps for your ML projects with deceptively simple Python scripts.