slinderman / thesisLinks
My PhD Thesis
☆22Updated 9 years ago
Alternatives and similar repositories for thesis
Users that are interested in thesis are comparing it to the libraries listed below
Sorting:
- Black box variational inference for state space models☆2Updated 9 years ago
- ☆96Updated 6 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 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
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- autoregressive plugin☆27Updated 2 years ago
- ☆8Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Lanugage of Thought (LOT) models in Python.☆33Updated 5 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- ☆155Updated 5 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆18Updated 8 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- changepoint detection for Bayesian models☆21Updated 10 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Information Theoretic Tools for Python☆93Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 5 years ago
- Code for AutoGP☆27Updated 5 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago