Exploring differentiation with respect to hyperparameters
☆296Jan 15, 2016Updated 10 years ago
Alternatives and similar repositories for hypergrad
Users that are interested in hypergrad are comparing it to the libraries listed below
Sorting:
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Feb 12, 2019Updated 7 years ago
- Spearmint Bayesian optimization codebase☆1,564Dec 27, 2019Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Jan 26, 2016Updated 10 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Jul 26, 2016Updated 9 years ago
- ☆55Feb 5, 2016Updated 10 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Mar 11, 2016Updated 9 years ago
- Rectified Factor Networks☆37Oct 16, 2019Updated 6 years ago
- Code and models from the paper "Layer Normalization"☆243Nov 8, 2016Updated 9 years ago
- Reimplementation of DRAW☆347Aug 25, 2016Updated 9 years ago
- LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)☆109May 1, 2016Updated 9 years ago
- ☆141Nov 24, 2017Updated 8 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Sep 20, 2018Updated 7 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Jan 27, 2015Updated 11 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Aug 27, 2015Updated 10 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Aug 13, 2016Updated 9 years ago
- DrMAD☆107Nov 12, 2017Updated 8 years ago
- Deep Networks with Stochastic Depth☆481Aug 13, 2018Updated 7 years ago
- Theano reimplementation of pixelCNN architecture☆166Jul 23, 2016Updated 9 years ago
- Deep Learning Package base on Theano☆104Sep 29, 2016Updated 9 years ago
- Implementation of the DRAW network in lasagne☆201Nov 8, 2015Updated 10 years ago
- Computation Graph Toolkit☆634Apr 10, 2018Updated 7 years ago
- Efficiently computes derivatives of NumPy code.☆7,460Updated this week
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34May 7, 2015Updated 10 years ago
- Hyperparameter optimization with approximate gradient☆66Mar 23, 2021Updated 4 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆168Nov 1, 2017Updated 8 years ago
- Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.☆159Nov 22, 2016Updated 9 years ago
- Hyper-parameter Optimization with DrMAD and Hypero☆23Jun 9, 2016Updated 9 years ago
- Intel® Deep Learning Framework☆313Jun 16, 2016Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Feb 5, 2016Updated 10 years ago
- Generative moment matching networks☆150Jul 11, 2016Updated 9 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Aug 15, 2017Updated 8 years ago
- ☆255Nov 23, 2016Updated 9 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Feb 22, 2020Updated 6 years ago
- A little library for text analysis with RNNs.☆537Sep 10, 2018Updated 7 years ago
- A Theano framework for building and training neural networks☆1,154Feb 19, 2019Updated 7 years ago
- Utilities for nolearn.lasagne☆21Jul 3, 2017Updated 8 years ago
- Deep learning research framework based on Theano☆267Sep 20, 2015Updated 10 years ago