nitromannitol / stochastic-quasi-newtonLinks
modular implementation of new algorithm
☆13Updated 11 years ago
Alternatives and similar repositories for stochastic-quasi-newton
Users that are interested in stochastic-quasi-newton are comparing it to the libraries listed below
Sorting:
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Repository for Chained Gaussian Processes☆14Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 9 years ago
- Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…☆18Updated 9 years ago
- Code for Max-Margin Deep Generative Models☆12Updated 10 years ago
- more composable than other neural network libraries☆42Updated 9 years ago
- DrMAD☆107Updated 8 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- ☆44Updated 9 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- Experimentation with Highway Networks & GradNets☆13Updated 9 years ago
- GPU accelerated Deep Belief Network☆47Updated 10 years ago
- ☆11Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Comparative Study of Deep Learning Software Frameworks☆70Updated 9 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM☆55Updated 10 years ago
- SparseAutoEncoder - Unsupervised Learning☆14Updated 13 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆38Updated 5 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago