HIPS / hypergrad
Exploring differentiation with respect to hyperparameters
☆294Updated 9 years ago
Alternatives and similar repositories for hypergrad:
Users that are interested in hypergrad are comparing it to the libraries listed below
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Python package for modular Bayesian optimization☆134Updated 4 years ago
- auto-tuning momentum SGD optimizer☆287Updated 5 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Scikit-learn compatible tools using theano☆363Updated 7 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆302Updated 6 months ago
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Updated 4 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Generative Adversarial Networks with Keras☆156Updated 4 years ago
- Multi-GPU mini-framework for Theano☆195Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆143Updated 5 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆141Updated 6 years ago
- Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)☆219Updated 8 years ago
- Efficient implementation of Generative Stochastic Networks☆316Updated 8 years ago
- DrMAD☆107Updated 7 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆170Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- Modular Restricted Boltzmann Machine (RBM) implementation using Theano☆172Updated 11 years ago
- Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.☆174Updated 6 years ago
- Deep Unsupervised Perceptual Grouping☆131Updated 4 years ago
- General purpose Hessian-free optimization in Theano☆182Updated 10 years ago
- NPI(Neural Programmer-Interpreters) implementation with Keras☆243Updated 2 years ago
- Optimizers for machine learning☆182Updated last year
- ☆88Updated 9 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆155Updated 7 years ago
- A numeric optimization package for Torch.☆196Updated 7 years ago
- Kayak is a library for automatic differentiation with applications to deep neural networks.☆227Updated 7 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016☆223Updated 8 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago