kirthevasank / nasbotLinks
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
☆134Updated 6 years ago
Alternatives and similar repositories for nasbot
Users that are interested in nasbot are comparing it to the libraries listed below
Sorting:
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- ☆96Updated 5 years ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- ☆133Updated 7 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- Hypergradient descent☆149Updated last year
- hessian in pytorch☆187Updated 4 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 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
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- predicting learning curves in python☆43Updated 8 years ago
- ☆136Updated 7 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Adaptive Neural Trees☆153Updated 6 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Updated 6 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆311Updated 2 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 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"☆144Updated 8 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆169Updated 4 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago