microsoft / petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
☆110Updated last year
Alternatives and similar repositories for petridishnn:
Users that are interested in petridishnn are comparing it to the libraries listed below
- A general, modular, and programmable architecture search framework☆121Updated last year
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- ☆61Updated last year
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 4 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago
- This code is for running enas on nni.☆24Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 5 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆167Updated 4 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- An implementation of shampoo☆74Updated 6 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 last year
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 5 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 5 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆50Updated 5 years ago
- Reviewing recent advances in classification on CIFAR 10 and 100 datasets☆37Updated 6 years ago
- A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2…☆22Updated 4 years ago
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 6 years ago
- Tensorflow and Numpy Implementation of Net2Net (http://arxiv.org/abs/1511.05641)☆47Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago