🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Standard Open Arm 100

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Open standard for machine learning interoperability

Machine Learning Agility (MLAgility) benchmark and benchmarking tools

Inference Stable Diffusion with C# and ONNX Runtime

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf

Lightweight Deep Learning Model Training library based on PyTorch

Scailable ONNX python tools

Accelerate PyTorch models with ONNX Runtime

Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

reference implementation to use ONNX Runtime with Azure IoT Edge

Daquexian's NNAPI Library. ONNX + Android NNAPI

Dockerfiles and scripts for ONNX container images

Convert scikit-learn models and pipelines to ONNX

Convert tf.keras/Keras models to ONNX

ONNX.js: run ONNX models using JavaScript

Napa.js: a multi-threaded JavaScript runtime

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

ONNXMLTools enables conversion of models to ONNX

Pseudo-3D Convolutional Residual Networks for Video Representation Learning

A collection of pre-trained, state-of-the-art models in the ONNX format

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit