usyd-fsalab / NeuralNetworkRandomnessLinks
☆14Updated 3 years ago
Alternatives and similar repositories for NeuralNetworkRandomness
Users that are interested in NeuralNetworkRandomness are comparing it to the libraries listed below
Sorting:
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆16Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- [ECCV18] Constraint-Aware Deep Neural Network Compression☆12Updated 7 years ago
- ☆23Updated 6 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- ☆25Updated 4 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Updated 6 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral☆61Updated 2 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Updated 5 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 9 months ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆40Updated 6 years ago
- The project is about predicting sets (of classes) from images.☆23Updated 4 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 3 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- ☆23Updated 4 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 4 years ago
- ☆69Updated 5 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 5 years ago
- ☆14Updated 3 years ago
- ☆25Updated 5 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 5 years ago
- profile tools for pytorch nn models☆42Updated 4 years ago