Alternatives and similar repositories for topographica:

Users that are interested in topographica are comparing it to the libraries listed below

• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆72Updated 2 years ago
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 7 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• robclewley / compneuro
  Computational Neuroscience class materials in PyDSTool based on Hugh Wilson's book (and some from Eugene Izhikevich's book). DRAFT VERSIO…
  ☆223Updated 10 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 9 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• rougier / Neurosciences
  Computational Neurosciences repository
  ☆29Updated 10 years ago
• KordingLab / spykes
  Tools for spike data analysis and visualization
  ☆104Updated 2 years ago
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 7 years ago
• neuronstar / spiking-neuron-models
  computational neuroscience reading notes
  ☆79Updated 4 years ago
• JasperVanDenBosch / niprov
  provenance for neuroimaging data
  ☆9Updated 8 years ago
• neurospin / pylearn-parsimony
  Structured Machine Learning in Python
  ☆46Updated last year
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆91Updated 5 years ago
• ELEKTRONN / ELEKTRONN
  A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)
  ☆38Updated 3 years ago
• brian-team / brian
  Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…
  ☆59Updated 2 years ago
• INCF / csa
  The Python implementation of the Connection-Set Algebra
  ☆13Updated 2 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 2 years ago
• tomwallis / glm-intro
  A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
  ☆27Updated 9 years ago
• NeuralEnsemble / neuroConstruct
  neuroConstruct: biophysically detailed neuronal modelling in 3D
  ☆48Updated 3 weeks ago
• dicai / bayesCPD
  changepoint detection for Bayesian models
  ☆21Updated 10 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 7 years ago
• BlueBrain / BluePyOpt
  Blue Brain Python Optimisation Library
  ☆212Updated 3 weeks ago
• banilo / nips2015
  ☆14Updated 9 years ago
• BlueBrain / bluima
  Natural Language Processing Toolkit for Neuroscience
  ☆27Updated 3 months ago
• NeuralEnsemble / NeuroTools
  NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.
  ☆31Updated 5 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆125Updated 3 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago