fastconvnets / cvpr2020
Code for "Fast Sparse ConvNets" CVPR2020 submissions
☆13Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for cvpr2020
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 6 months ago
- ☆24Updated 2 years ago
- ☆42Updated 9 months ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 3 years ago
- ☆35Updated 4 years ago
- ☆47Updated 4 years ago
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- Post-training sparsity-aware quantization☆33Updated last year
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆32Updated last year
- ☆55Updated 3 years ago
- ☆28Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆37Updated last year
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated last year
- Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," Interna…☆16Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆69Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- [ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vi…☆30Updated 8 months ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆21Updated 4 years ago
- Code for ICML 2021 submission☆35Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 5 years ago
- ☆28Updated 3 years ago
- ☆68Updated 2 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆13Updated 3 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆57Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago