lucastheis / cmt
Fast CPU implementations of several conditional probabilistic models
☆36Updated last year
Alternatives and similar repositories for cmt:
Users that are interested in cmt are comparing it to the libraries listed below
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34Updated 9 years ago
- ☆34Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Fork of https://github.com/Lasagne/Lasagne☆63Updated 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
- Utilities for nolearn.lasagne☆21Updated 7 years ago
- ☆45Updated 8 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Bidirectional Helmholtz Machines☆40Updated 9 years ago
- An interface between Torch and Matlab☆30Updated 9 years ago
- Code for the arxiv paper☆9Updated 10 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 8 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- Code for the recurrent image density estimator☆29Updated 9 years ago
- Playground for some RNN stuff in Torch.☆20Updated 9 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆29Updated 9 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Updated 10 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
- ☆73Updated 13 years ago
- ☆88Updated 8 years ago
- ☆86Updated 11 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 9 years ago
- ☆8Updated 8 years ago