yuhuixu1993 / Trained-Rank-PruningLinks
Pytorch implementation of TRP
☆45Updated 4 years ago
Alternatives and similar repositories for Trained-Rank-Pruning
Users that are interested in Trained-Rank-Pruning are comparing it to the libraries listed below
Sorting:
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆39Updated 6 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 2 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 5 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- ☆21Updated 5 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated 2 years ago
- ☆47Updated 5 years ago
- ☆40Updated 5 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆48Updated 6 years ago
- ☆55Updated 6 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 5 years ago
- [AAAI'20][ICML'19 AutoML] This repository is the implementation of "InstaNAS: Instance-aware Neural Architecture Search"☆93Updated 4 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- ☆70Updated 5 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆117Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 years ago
- [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search☆104Updated 5 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 6 years ago
- ☆51Updated 6 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago