codeneuro / gitgoingLinks
Get going with contributing to open source software
☆10Updated 10 years ago
Alternatives and similar repositories for gitgoing
Users that are interested in gitgoing 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…☆45Updated 11 years ago
- My PhD Thesis☆22Updated 9 years ago
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Updated 10 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Website for the MIT/Harvard Computational Neuroscience Journal Club☆11Updated 7 months ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- ☆10Updated 9 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 3 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- Computational Neurosciences repository☆30Updated 10 years ago
- Probabilistic Programming in Julia☆14Updated last year
- Online spike sorting methods in Julia☆12Updated 2 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- algorithms for mass univariate regression☆13Updated 7 years ago
- introductory material☆18Updated 10 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆53Updated 9 years ago
- Interactive notebooks for trying analyses and exploring datasets☆32Updated 10 years ago
- Library of common tools for machine learning research.☆41Updated 8 years ago
- A deep learning library for Julia based on Caffe☆33Updated 10 years ago
- ☆19Updated 9 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 6 years ago
- Implementation of the constrained deconvolution spike inference algorithm in Matlab☆13Updated 9 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
- ☆17Updated 9 years ago
- A centralized location for planning the direction of JuliaStats☆35Updated 11 years ago
- Computational Neuroscience class materials in PyDSTool based on Hugh Wilson's book (and some from Eugene Izhikevich's book). DRAFT VERSIO…☆224Updated 11 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆73Updated 2 years ago
- Collection of three method of moments based algorithms for learning stochastic languages.☆15Updated 10 years ago