onnx/onnx
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Open standard for machine learning interoperability
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Simple and Distributed Machine Learning
1 capture since 2026-05-25
AI agent config detected
Key config paths
.agents
AGENTS.md
.agents
.agents/skills
.agents/skills/cuda-attention-kernel-patterns
.agents/skills/cuda-attention-kernel-patterns/SKILL.md
.agents/skills/ort-build
.agents/skills/ort-build/SKILL.md
.agents/skills/ort-lint
.agents/skills/ort-lint/SKILL.md
.agents/skills/ort-test
.agents/skills/ort-test/SKILL.md
.agents/skills/python-kwargs-setattr-security
.agents/skills/python-kwargs-setattr-security/SKILL.md
AGENTS.md