General purpose Hessian-free optimization in Theano
☆183Jun 26, 2014Updated 12 years ago
Alternatives and similar repositories for theano-hf
Users that are interested in theano-hf are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An implementation of the Hessian-free optimization algorithm in Theano☆62Dec 7, 2011Updated 14 years ago
- Modular Restricted Boltzmann Machine (RBM) implementation using Theano☆172Feb 21, 2013Updated 13 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
- Demonstration of recurrent neural network implemented with Theano☆378Apr 18, 2017Updated 9 years ago
- Code for "Mondrian Forests: Efficient Online Random Forests"☆20Nov 14, 2014Updated 11 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Averaged Stochastic Gradient Descent Classifiers☆42Jul 6, 2012Updated 14 years ago
- Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.☆178Apr 26, 2010Updated 16 years ago
- Deep learning research framework based on Theano☆268Sep 20, 2015Updated 10 years ago
- Recurrent neural networks with theano.☆28Apr 6, 2010Updated 16 years ago
- Matrix library for CUDA in C++ and Python☆196Jan 4, 2017Updated 9 years ago
- ☆35Jul 4, 2013Updated 13 years ago
- Efficient implementation of Generative Stochastic Networks☆317Apr 18, 2016Updated 10 years ago
- ☆35Jul 22, 2015Updated 11 years ago
- A Lua wrapper for the Arcade Learning Environment☆17May 9, 2014Updated 12 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most power…☆138Jun 11, 2018Updated 8 years ago
- Neural network toolkit for Python☆327Jun 3, 2018Updated 8 years ago
- code for fast dropout☆46Jan 19, 2016Updated 10 years ago
- Common interface for Theano, CGT, and TensorFlow☆237Apr 23, 2016Updated 10 years ago
- A theano implementation of Hinton's dropout.☆143Jul 8, 2014Updated 12 years ago
- A little library for text analysis with RNNs.☆536Sep 10, 2018Updated 7 years ago
- Theano implementation of Memory Networks☆132Sep 7, 2015Updated 10 years ago
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34May 7, 2015Updated 11 years ago
- Warning: This project does not have any current developer. See bellow.☆2,768Aug 20, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Multi-GPU mini-framework for Theano☆194Sep 25, 2017Updated 8 years ago
- Recreating the Deep Residual Network in Lasagne☆116Apr 19, 2016Updated 10 years ago
- A Theano framework for building and training neural networks☆1,151Feb 19, 2019Updated 7 years ago
- Computation Graph Toolkit☆634Apr 10, 2018Updated 8 years ago
- Implementation of some deep learning algorithms.☆896Jul 9, 2014Updated 12 years ago
- various simple RNNs trained on synthetic grammars☆30Aug 8, 2015Updated 10 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Aug 15, 2017Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆181Dec 7, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Reimplementation of DRAW☆343Aug 25, 2016Updated 9 years ago
- Nano size Theano LSTM module☆304Nov 16, 2016Updated 9 years ago
- A Neural Turing Machine implementation in Torch.☆278Nov 3, 2015Updated 10 years ago
- Lightweight library to build and train neural networks in Theano☆3,861Mar 26, 2022Updated 4 years ago
- Stochastic gradient routines for Theano☆105Jun 3, 2018Updated 8 years ago
- Collection of useful, re-used routines.☆45Jul 15, 2017Updated 9 years ago
- Generating longer musical pieces with an RNN-RBM in TensorFlow☆94Aug 17, 2017Updated 8 years ago