LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
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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.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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 supports deploying, serving, monitoring, or operating AI and machine-learning systems.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Self-hosted downloader and player for YouTube, Bilibili, Twitch, MissAV, and yt-dlp sites. Features channel subscriptions, auto-downloads, and local storage for media. Organize your library into collections with a sleek UI. Includes built-in Cloudflare Tunnel support for secure remote access without port forwarding. Docker-ready deployment.
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.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Easy-to-use library to boost AI inference.
Neural networks framework in pure C: training and inference, no dependencies.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).