🤗 Optimum Intel: Accelerate inference with Intel optimization tools

📚 Jupyter notebook tutorials for OpenVINO™

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Easy to use test framework for Jupyter Notebooks

YOLOv10: Real-Time End-to-End Object Detection

Pre-trained Deep Learning models and samples (high quality and extremely fast)

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

🦜🔗 Build context-aware reasoning applications

Extend existing LLMs way beyond the original training length with constant memory usage, without retraining

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

Neural Network Compression Framework for enhanced OpenVINO™ inference

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

Oscar and VinVL

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

End-to-End Object Detection with Transformers

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

Documentation on how to access and use the Quick, Draw! Dataset.

Open MMLab Detection Toolbox and Benchmark