ChaofanTao / FAT_Quantization
Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation
☆27Updated 3 years ago
Alternatives and similar repositories for FAT_Quantization:
Users that are interested in FAT_Quantization are comparing it to the libraries listed below
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- ☆46Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- ☆56Updated 4 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆13Updated 4 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- ☆47Updated 4 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- ☆44Updated 3 years ago
- ☆35Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- ☆28Updated 4 years ago
- ☆39Updated 2 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆58Updated 4 years ago
- PyTorch implementation for GAL.☆56Updated 4 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆48Updated last year
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆34Updated last year
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 2 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago