melodyguan / enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
☆1,579Updated 5 years ago
Alternatives and similar repositories for enas:
Users that are interested in enas are comparing it to the libraries listed below
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,710Updated last year
- A curated list of awesome architecture search resources☆1,186Updated 4 years ago
- Differentiable architecture search for convolutional and recurrent networks☆3,943Updated 4 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,433Updated 6 months ago
- Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).☆434Updated 3 years ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,270Updated 2 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆852Updated 3 years ago
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,553Updated 5 years ago
- ☆253Updated 3 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,028Updated last month
- NAS-Bench-201 API and Instruction☆627Updated 4 years ago
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆686Updated 5 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,575Updated 2 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,546Updated 3 years ago
- Efficient Learning of Augmentation Policy Schedules☆505Updated 5 years ago
- Neural Architecture Optimization☆286Updated 4 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆693Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 4 years ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,816Updated last year
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,376Updated last year
- An experimental technique for efficiently exploring neural architectures.☆490Updated 7 years ago
- A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.☆2,464Updated 4 years ago
- Experiments with Deep Learning☆1,348Updated last year
- Tutorials and implementations for "Self-normalizing networks"☆1,586Updated 3 years ago
- A curated list of awesome resources related to capsule networks☆977Updated 5 years ago
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM☆1,259Updated 3 years ago
- Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)☆2,100Updated 3 years ago
- Memory consumption and FLOP count estimates for convnets☆918Updated 6 years ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆865Updated 4 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆444Updated 2 years ago