NDIC

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

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

A curated list for Efficient Large Language Models

PaddleSlim is an open-source library for deep model compression and architecture search.

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Add bisenetv2. My implementation of BiSeNet

A Github Action that automatically compresses JPEGs, PNGs and WebPs in Pull Requests.

A PyTorch library and evaluation platform for end-to-end compression research