GATECH-EIC / Early-Bird-TicketsLinks
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
☆140Updated 5 years ago
Alternatives and similar repositories for Early-Bird-Tickets
Users that are interested in Early-Bird-Tickets are comparing it to the libraries listed below
Sorting:
- ☆227Updated last year
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- ☆69Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 3 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆331Updated 2 years ago
- ☆144Updated 2 years ago
- ☆194Updated 4 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆116Updated 6 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆168Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆432Updated 2 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆314Updated 2 years ago
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆155Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Updated 6 years ago
- ☆68Updated 5 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated 2 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆473Updated 4 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated 5 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- Sparse learning library and sparse momentum resources.☆384Updated 3 years ago
- Train ImageNet in 18 minutes on AWS☆134Updated last year
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆105Updated 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
- All about acceleration and compression of Deep Neural Networks☆33Updated 6 years ago