tristandeleu / pytorch-structured-sparsityLinks
Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch
☆18Updated 4 years ago
Alternatives and similar repositories for pytorch-structured-sparsity
Users that are interested in pytorch-structured-sparsity are comparing it to the libraries listed below
Sorting:
- The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"☆10Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆41Updated 5 years ago
- Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…☆24Updated 3 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Proximal Mean-field for Neural Network Quantization☆21Updated 5 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Updated 3 years ago
- Factorized Neural Layers☆30Updated 2 years ago
- ☆69Updated 5 years ago
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 5 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆72Updated 3 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Updated 5 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 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
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- Improving Neural Network Training in Low Dimensional Random Bases☆12Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Updated 4 years ago
- PyTorch implementation of HashedNets☆37Updated 2 years ago
- ☆43Updated last year
- Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zh…☆11Updated 2 years ago
- ☆52Updated 6 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Updated 5 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Updated 5 years ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆29Updated 4 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Updated 2 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆19Updated 4 years ago