Adamdad / Samesame
An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization(https://arxiv.org/pdf/1902.01917.pdf) ---ICML2019
☆10Updated 5 years ago
Alternatives and similar repositories for Samesame:
Users that are interested in Samesame are comparing it to the libraries listed below
- ☆28Updated 4 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 6 months ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 3 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 2 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆58Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated last year
- ☆35Updated 5 years ago
- FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search☆10Updated 3 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- ☆75Updated 2 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 2 years ago
- ☆56Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- ☆34Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- ☆44Updated 3 years ago
- ☆38Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- Code for ICML 2021 submission☆35Updated 3 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆13Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year