Eclipsess / CHIP_NeurIPS2021
Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).
☆33Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for CHIP_NeurIPS2021
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 4 years ago
- [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective☆23Updated 10 months ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 2 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 4 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆83Updated 3 years ago
- ☆24Updated last year
- ☆38Updated last year
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆36Updated 3 years ago
- Implementation network trimming using pytorch☆13Updated 4 years ago
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆37Updated 2 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆105Updated 5 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆69Updated 2 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆46Updated last year
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆147Updated 3 years ago
- EQ-Net [ICCV 2023]☆26Updated last year
- Any-Precision Deep Neural Networks (AAAI 2021)☆56Updated 4 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆115Updated 2 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆29Updated last year
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆148Updated last year
- In progress.☆65Updated 7 months ago
- A pytorch implementation of DoReFa-Net☆131Updated 4 years ago
- a pytorch implement of mobileNet v2 on cifar10☆61Updated last year
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆89Updated last year
- Dynamic Dual Gating Neural Networks, ICCV 2021☆30Updated last year
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated last year
- A pytorch implementation of dorefa quantization☆112Updated 4 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- ☆29Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆87Updated last year