DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
☆32Aug 13, 2020Updated 5 years ago
Alternatives and similar repositories for DeepHoyer
Users that are interested in DeepHoyer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 6 years ago
- Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments☆12Jun 30, 2023Updated 2 years 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
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Feb 14, 2020Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated last year
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 5 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Jan 17, 2026Updated 2 months ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Jul 24, 2022Updated 3 years ago
- This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel …☆32May 22, 2023Updated 2 years ago
- ☆13Mar 8, 2020Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Jan 5, 2021Updated 5 years ago
- A PyTorch + Python 3.x implementation of the Echo protocol☆10Mar 12, 2026Updated last week
- Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory - WACV18☆12Jul 5, 2019Updated 6 years ago
- Codes of Centripetal SGD☆64Sep 8, 2022Updated 3 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Jul 13, 2018Updated 7 years ago
- ☆15Jan 8, 2020Updated 6 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Feb 13, 2022Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆17Dec 5, 2018Updated 7 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Sep 8, 2022Updated 3 years ago
- ☆21Mar 20, 2017Updated 9 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Oct 10, 2023Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Sep 3, 2022Updated 3 years ago
- ☆20Oct 3, 2019Updated 6 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Mar 2, 2024Updated 2 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Jan 31, 2021Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Jun 13, 2019Updated 6 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 6 years ago
- Cheap distillation for convolutional neural networks.☆35Oct 22, 2018Updated 7 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Nov 21, 2018Updated 7 years ago
- [SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search☆13Nov 3, 2021Updated 4 years ago
- This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off☆13May 30, 2019Updated 6 years ago
- Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"☆15Nov 11, 2018Updated 7 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- [FPGA-2022] N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores☆11Dec 16, 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
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Aug 7, 2019Updated 6 years ago