Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
☆26Nov 12, 2020Updated 5 years ago
Alternatives and similar repositories for PSG-pytorch
Users that are interested in PSG-pytorch are comparing it to the libraries listed below
Sorting:
- Paraphrasing Complex Network: Network Compression via Factor Transfer Code (NeurIPS 2018)☆20Jul 22, 2020Updated 5 years ago
- Feature Fusion for Online Mutual Knowledge Distillation Code☆27Jul 21, 2020Updated 5 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 3 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Jul 23, 2021Updated 4 years ago
- Code for paper "Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach"☆18Jul 9, 2020Updated 5 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Jul 7, 2022Updated 3 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆22Apr 13, 2022Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 2 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Nov 1, 2024Updated last year
- ☆10Nov 27, 2024Updated last year
- ☆11Feb 24, 2025Updated last year
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 5 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- Unsupervised Remoting Sensing Super-Resolution Via Migration Image Prior☆17Mar 26, 2021Updated 4 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆12Nov 20, 2019Updated 6 years ago
- maskcnn_benchmark based on mobilenetv2☆12Nov 11, 2019Updated 6 years ago
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆13Aug 30, 2024Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆160Jun 16, 2020Updated 5 years ago
- ☆32Mar 31, 2025Updated 11 months ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- ☆48Jul 28, 2020Updated 5 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 3 years ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆10May 25, 2022Updated 3 years ago
- ☆14Oct 24, 2022Updated 3 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Jul 14, 2023Updated 2 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆33Jan 20, 2022Updated 4 years ago
- ☆13Mar 8, 2020Updated 6 years ago
- Reconfigurable Binary Engine☆17Mar 23, 2021Updated 4 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Mar 4, 2020Updated 6 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 6 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- FPGA acceleration of arbitrary precision floating point computations.☆40May 17, 2022Updated 3 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Nov 8, 2019Updated 6 years ago