neurospin / pylearn-parsimony
Structured Machine Learning in Python
☆46Updated last year
Alternatives and similar repositories for pylearn-parsimony:
Users that are interested in pylearn-parsimony are comparing it to the libraries listed below
- Cortex - Deep learning tools for neuroimaging☆31Updated 7 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
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Updated 9 years ago
- provenance for neuroimaging data☆9Updated 8 years ago
- introductory material☆18Updated 9 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Randomized online matrix factorization☆138Updated 4 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Keras for Science☆72Updated 6 years ago
- Website for the 2018 OHBM hackathon☆11Updated 2 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Conquering confounds and covariates: methods, library and guidance☆38Updated 11 months ago
- Exercises for 2015 Berkeley practical neuroimaging class☆26Updated 9 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- ☆8Updated 8 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 5 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆125Updated 3 years ago
- Fast CPU implementations of several conditional probabilistic models☆36Updated last year
- Course materials for the 2018 Summer Workshop on the Dynamic Brain☆22Updated 6 years ago
- ☆41Updated 10 years ago
- My PhD Thesis☆22Updated 8 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- Information Theoretic Tools for Python☆91Updated 5 years ago
- Estimating the functional dimensionality of neural representations☆19Updated 3 years ago
- Materials for UC Berkeley Neuroscience 299☆53Updated 5 years ago