Stochastic gradient routines for Theano
☆103Jun 3, 2018Updated 7 years ago
Alternatives and similar repositories for downhill
Users that are interested in downhill are comparing it to the libraries listed below
Sorting:
- Common Code Workflow tutorial on Theano☆16Oct 29, 2015Updated 10 years ago
- Neural network toolkit for Python☆327Jun 3, 2018Updated 7 years ago
- Automatic differentiation for NumPy☆101May 9, 2015Updated 10 years ago
- Computation Graph Toolkit☆634Apr 10, 2018Updated 7 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Apr 16, 2016Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- more composable than other neural network libraries☆42Aug 11, 2016Updated 9 years ago
- itertools. But picklable.☆37Aug 6, 2015Updated 10 years ago
- Deep learning research framework based on Theano☆267Sep 20, 2015Updated 10 years ago
- Optimizers for machine learning☆183Jan 16, 2026Updated last month
- 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
- An implementation of gibbs sampling for Latent Dirichlet Allocation☆30Aug 3, 2011Updated 14 years ago
- Benchmarking different LSTM libraries☆25Mar 22, 2016Updated 9 years ago
- ☆89Nov 20, 2016Updated 9 years ago
- Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)☆222Apr 6, 2016Updated 9 years ago
- Autoencoders to find structure in arbitrary datasets☆122Oct 28, 2015Updated 10 years ago
- various simple RNNs trained on synthetic grammars☆30Aug 8, 2015Updated 10 years ago
- Kayak is a library for automatic differentiation with applications to deep neural networks.☆229Aug 22, 2017Updated 8 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Dec 12, 2015Updated 10 years ago
- Cross-domain word representation learning☆10May 23, 2015Updated 10 years ago
- A data pipeline framework for machine learning☆872Nov 22, 2022Updated 3 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Mar 27, 2024Updated last year
- generative models for speech☆20Jul 4, 2016Updated 9 years ago
- ☆18May 15, 2015Updated 10 years ago
- Large scale matrix factorization on GPU☆19Jun 4, 2016Updated 9 years ago
- Reimplementation of DRAW☆347Aug 25, 2016Updated 9 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Nov 22, 2016Updated 9 years ago
- This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas…☆420Jul 24, 2019Updated 6 years ago
- Very fast Clustering with Kohonen Learning Procedure KMEANS based on NUMPY, SCIPY or THEANO☆38Feb 14, 2014Updated 12 years ago
- CTC implementation in Theano.☆42Jun 11, 2016Updated 9 years ago
- Efficient implementation of Generative Stochastic Networks☆12Nov 28, 2013Updated 12 years ago
- Implementations of differentiable stacks, queues, and deques from "Learning to Transduce with Unbounded Memory"☆20Sep 8, 2015Updated 10 years ago
- Spearmint, without the gum☆42Feb 14, 2017Updated 9 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Jan 26, 2016Updated 10 years ago
- Exploring differentiation with respect to hyperparameters☆296Jan 15, 2016Updated 10 years ago
- Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks☆265Jan 23, 2017Updated 9 years ago
- Seamless Numpy-UBlas interoperability☆12Aug 6, 2018Updated 7 years ago
- Latent Dirichlet Allocation with Gibbs sampling☆16Dec 18, 2013Updated 12 years ago
- Automatic differentiation for NumPy☆42Jun 14, 2013Updated 12 years ago