bzantium / pytorch-admm-pruningView external linksLinks
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
☆99Oct 15, 2019Updated 6 years ago
Alternatives and similar repositories for pytorch-admm-pruning
Users that are interested in pytorch-admm-pruning are comparing it to the libraries listed below
Sorting:
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Jun 22, 2021Updated 4 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆43May 18, 2018Updated 7 years ago
- ☆36Mar 6, 2019Updated 6 years ago
- Reproduction of WAGE in PyTorch.☆44Nov 18, 2018Updated 7 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Nov 16, 2020Updated 5 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 5 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- Source code for paper "Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration" of NeurIPS 2019☆10Jan 25, 2024Updated 2 years ago
- MNSIM version 1.1. We have uploaded a high-level modeling tool and please use this version: https://github.com/Zhu-Zhenhua/MNSIM_Python☆12Dec 12, 2019Updated 6 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆36May 19, 2022Updated 3 years ago
- Self-Distribution BNN☆10Mar 8, 2022Updated 3 years ago
- Codes for our paper "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment" [NeurIPS'19 EMC2 workshop]…☆10Oct 12, 2020Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆10Jun 1, 2021Updated 4 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Sep 23, 2022Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆47Aug 6, 2020Updated 5 years ago
- A python implementation of a traditional Dynamic Range Compressor☆14Oct 30, 2020Updated 5 years ago
- PyTorch implementation of Group Normalization https://arxiv.org/abs/1803.08494☆11Mar 23, 2018Updated 7 years ago
- ☆10Mar 2, 2022Updated 3 years ago
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 7 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆22Jun 1, 2021Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- ☆25Dec 11, 2021Updated 4 years ago
- ☆12Nov 22, 2022Updated 3 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Nov 14, 2018Updated 7 years ago
- ☆15Jan 8, 2020Updated 6 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Oct 3, 2023Updated 2 years ago
- ☆48Jul 28, 2020Updated 5 years ago
- ☆46Sep 5, 2019Updated 6 years ago
- A synthesis flow for hybrid processing-in-RRAM modes☆12Jul 15, 2021Updated 4 years ago
- Simulator or Non-Uniform Cache Architectures☆10Aug 27, 2018Updated 7 years ago
- ☆13Mar 4, 2015Updated 10 years ago
- MEEP FPGA Shell project, currently supporting Alveos u280 and u55c☆14Mar 14, 2024Updated last year
- Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.☆226Apr 22, 2019Updated 6 years ago
- Pytorch implementation of channel pruning and AMC☆32Jul 15, 2019Updated 6 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Jan 2, 2020Updated 6 years ago
- Batch Normalization Auto-fusion for PyTorch☆32Apr 14, 2020Updated 5 years ago