[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
Code for paper Fine-tune BERT for Extractive Summarization
An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch an...
Non-local Neural Networks for Video Classification
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video ...
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An implementation of Performer, a linear attention-based transformer, in Pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
RepVGG: Making VGG-style ConvNets Great Again
🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs