IntelLabs / Model-Compression-Research-PackageLinks
A library for researching neural networks compression and acceleration methods.
☆138Updated 9 months ago
Alternatives and similar repositories for Model-Compression-Research-Package
Users that are interested in Model-Compression-Research-Package are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆190Updated 2 years ago
- ☆204Updated 3 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆439Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆122Updated last year
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆250Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆135Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆276Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆110Updated 2 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆159Updated 9 months ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Updated last year
- ☆236Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆275Updated 6 months ago
- Block Sparse movement pruning☆80Updated 4 years ago
- Prune a model while finetuning or training.☆403Updated 3 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- ☆43Updated last year
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Updated 2 years ago
- ☆47Updated 3 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆108Updated last year
- ☆76Updated 2 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆30Updated 3 years ago
- ☆208Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆122Updated last year
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆164Updated 5 years ago
- Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).☆37Updated 2 years ago