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caffe

Caffe: a fast open framework for deep learning.

colbert

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22)

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dldt

Deep Learning Deployment Toolkit

graphlearn-for-pytorch

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

haystack

:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

models

Models and examples built with TensorFlow

neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

open-domain-question-and-answer

opencv_extra

OpenCV extra data

optimum-habana

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

pretrained-models

pyg-lib

Low-Level Graph Neural Network Operators for PyG

pytorch_geometric

Graph Neural Network Library for PyTorch

slarle.js

JavaScript-based barcode localization and decoding

super-resolution

图像超分辨率算法的实现

text-embeddings-inference

A blazing fast inference solution for text embeddings models

transformers

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