musco-ai / musco-pytorchLinks
MUSCO: MUlti-Stage COmpression of neural networks
☆72Updated 4 years ago
Alternatives and similar repositories for musco-pytorch
Users that are interested in musco-pytorch are comparing it to the libraries listed below
Sorting:
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- FLOPs and other statistics COunter for Pytorch neural networks☆23Updated 4 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- Programmable Neural Network Compression☆148Updated 3 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 3 years ago
- A Re-implementation of Fixed-update Initialization☆152Updated 6 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆324Updated 2 years ago
- AdaShift optimizer implementation in PyTorch☆17Updated 6 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation☆52Updated 4 years ago
- Automatic learning-rate scheduler☆46Updated 4 years ago
- ☆57Updated 3 years ago
- Code for https://arxiv.org/abs/1810.04622☆141Updated 5 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆138Updated 4 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Updated 5 years ago
- ☆213Updated 6 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆33Updated 4 years ago
- Batch normalization fusion for PyTorch. This is an archived repository, which is not maintained.☆197Updated 5 years ago
- ☆144Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- Estimate/count FLOPS for a given neural network using pytorch☆305Updated 3 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆98Updated 5 years ago
- Binarize convolutional neural networks using pytorch☆147Updated 3 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆26Updated last year
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago