stevenygd / WAGE.pytorchLinks
Reproduction of WAGE in PyTorch.
☆44Updated 6 years ago
Alternatives and similar repositories for WAGE.pytorch
Users that are interested in WAGE.pytorch are comparing it to the libraries listed below
Sorting:
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- ☆52Updated 6 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- ☆36Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- ☆213Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 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
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- ☆57Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Torch-7 implementation of BinaryDuo (ICLR 2020).☆9Updated 4 years ago
- Simulator for BitFusion☆100Updated 4 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆35Updated 5 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year