microsoft / petridishnnLinks
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
☆110Updated 2 years ago
Alternatives and similar repositories for petridishnn
Users that are interested in petridishnn are comparing it to the libraries listed below
Sorting:
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆168Updated 6 years ago
- This code is for running enas on nni.☆25Updated 6 years ago
- ☆61Updated 2 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆40Updated 7 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆169Updated 4 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- Transfer Learning library for Deep Neural Networks.☆256Updated 2 years ago
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆192Updated 7 years ago
- ☆55Updated 6 years ago
- An implementation of shampoo☆77Updated 7 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆75Updated 7 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 6 years ago
- Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.☆155Updated 6 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 7 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 7 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Keras implementation of Efficient Neural Architecture Search☆91Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Reviewing recent advances in classification on CIFAR 10 and 100 datasets☆37Updated 7 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago