kirthevasank / nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
☆133Updated 6 years ago
Alternatives and similar repositories for nasbot:
Users that are interested in nasbot are comparing it to the libraries listed below
- ☆95Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- predicting learning curves in python☆43Updated 7 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆168Updated 4 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆307Updated 2 years ago
- hessian in pytorch☆186Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Neural Architecture Optimization☆286Updated 4 years ago
- A general, modular, and programmable architecture search framework☆122Updated last year
- ☆133Updated 7 years ago
- Hypergradient descent☆145Updated 9 months ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 4 years ago
- Bayesian neural network package☆142Updated 3 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 5 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆138Updated 7 years ago
- Tensorflow code for Differentiable architecture search☆72Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)☆18Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- 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