Search results

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.

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.

OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).

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).

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

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