anubhavashok / N2NLinks
☆55Updated 6 years ago
Alternatives and similar repositories for N2N
Users that are interested in N2N are comparing it to the libraries listed below
Sorting:
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- [AAAI'20][ICML'19 AutoML] This repository is the implementation of "InstaNAS: Instance-aware Neural Architecture Search"☆93Updated 4 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆48Updated 6 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆50Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 2 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Updated 7 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆169Updated 4 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 6 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆39Updated 6 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- NIPS Implementation challenge 2017 for "Searching for activation functions" paper by Google Brain☆32Updated 6 years ago
- Implementation of the Budgeted Super Networks☆25Updated 6 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 5 years ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- A neat pytorch implementation of nasnet and the ported weights from tensorflow☆76Updated 4 years ago
- PyTorch 1.0 supported for CNN exp.☆81Updated 6 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago