mlzxy / qsparseLinks
Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
☆43Updated 3 years ago
Alternatives and similar repositories for qsparse
Users that are interested in qsparse are comparing it to the libraries listed below
Sorting:
- ☆47Updated 6 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Updated 2 years ago
- ☆28Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 6 years ago
- ☆57Updated 5 years ago
- Repository containing pruned models and related information☆38Updated 4 years ago
- ☆48Updated 5 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Updated 6 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 7 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93Updated 3 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 6 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Updated 6 years ago
- ☆35Updated 5 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 6 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 5 years ago
- ☆49Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Updated 6 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 3 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 7 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Code for ICML 2021 submission☆35Updated 4 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Updated 5 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago