pberkes / neuro-klLinks
Python and Matlab code to estimate KL divergence and entropy of neural data distributions
☆19Updated 12 years ago
Alternatives and similar repositories for neuro-kl
Users that are interested in neuro-kl are comparing it to the libraries listed below
Sorting:
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Cortex - Deep learning tools for neuroimaging☆31Updated 8 years ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆72Updated 2 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- density_estimation☆28Updated 6 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Variational Bayesian Canonical Correlation Analysis☆30Updated 8 years ago
- Delay embedding for time series modeling and classification☆17Updated 8 years ago
- Python/Cython wrapper for liblbfgs☆45Updated 7 years ago
- Python Time Series Analysis (PTSA, pronounced "pizza")☆41Updated 8 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- An implementation of gibbs sampling for Latent Dirichlet Allocation☆30Updated 13 years ago
- introductory material☆18Updated 9 years ago
- Python implementation of Kernel Canonical Correlation Analysis☆49Updated 6 years ago
- Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)☆19Updated last year
- A conda-smithy repository for python-spams.☆23Updated 8 months ago
- Canonical ICA for fMRI☆36Updated 9 years ago
- Simple structured learning framework for python☆38Updated 9 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- Extreme Learning Machine - C++ library☆33Updated 10 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Updated 9 years ago
- Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures☆46Updated last year
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 10 years ago
- ☆9Updated 9 years ago
- Mutual Information functions for C and MATLAB☆143Updated 7 years ago
- Sparse Filtering☆219Updated 13 years ago