callowbird / HarmonicaLinks
Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
☆173Updated 6 years ago
Alternatives and similar repositories for Harmonica
Users that are interested in Harmonica are comparing it to the libraries listed below
Sorting:
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago
- ☆252Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 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
- Deep learning system course☆214Updated 6 years ago
- https://2017.icml.cc/Conferences/2017/Schedule☆71Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Reference caffe implementation of LSUV initialization☆114Updated 7 years ago
- DrMAD☆107Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- predicting learning curves in python☆43Updated 8 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- Standalone TensorBoard for visualizing in deep learning☆368Updated 5 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆44Updated 8 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- ☆136Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 8 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆134Updated 6 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 6 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆55Updated 6 years ago
- papers on scalable and efficient machine learning systems☆192Updated 6 years ago
- Examples of C extensions for PyTorch☆256Updated 2 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago