Alternatives and similar repositories for AppliedStatisticsForNeuroscience:

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

• ContextLab / chatify
  Add ipython magic commands to Jupyter notebooks that provide LLM-driven enhancements
  ☆22Updated 10 months ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 2 years ago
• alexhuth / ndap-fa2018
  neuro data analysis in python
  ☆33Updated 6 years ago
• edeno / Better-Science-Code
  A presentation on best coding/data management practices based on my own experiences of scientific computing and data analysis and heavily…
  ☆34Updated 7 years ago
• kylerbrown / python-for-neuroscience
  A workshop for teaching python to neuroscientists with some previous programming experience.
  ☆35Updated 9 years ago
• openlists / Overview
  An overview of the OpenLists organization, and description of the available lists.
  ☆54Updated 2 years ago
• titipata / paper-reviewer-matcher
  Linear programming solver for paper-reviewer matching and mind-matching
  ☆84Updated 2 years ago
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated last year
• practical-neuroimaging / pna2015
  Exercises for 2015 Berkeley practical neuroimaging class
  ☆26Updated 9 years ago
• lacerbi / workshop-bristol-2019
  Introductory workshop to modeling and model fitting in psychophysics and neuroscience
  ☆11Updated 5 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 years ago
• rougier / CNCC-2020
  Computational Neuroscience Crash Course (University of Bordeaux, 2020)
  ☆50Updated 3 years ago
• KordingLab / spykesML
  A class for using ML algorithms for spike prediction
  ☆60Updated 7 years ago
• lovelabUCL / dimensionality
  Estimating the functional dimensionality of neural representations
  ☆19Updated 3 years ago
• CYHSM / DeepInsight
  A general framework for interpreting wide-band neural activity
  ☆159Updated 3 years ago
• raamana / confounds
  Conquering confounds and covariates: methods, library and guidance
  ☆38Updated last year
• AllenInstitute / SWDB_2018
  Course materials for the 2018 Summer Workshop on the Dynamic Brain
  ☆22Updated 6 years ago
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago
• BlohmLab / NSCI801-QuantNeuro
  NSCI 801 (Queen's U) Quantitative Neuroscience course materials
  ☆111Updated 2 months ago
• mwaskom / Waskom_CerebCortex_2017
  Analysis repository for Waskom et al., (2017) Cerebral Cortex
  ☆17Updated 9 years ago
• poldrack / pytest_tutorial
  simple pytest tutorial
  ☆67Updated last month
• ContextLab / computational-neuroscience
  Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …
  ☆48Updated last year
• AllenInstitute / neuroglia
  a Python machine learning library for neurophysiology data
  ☆36Updated 6 years ago
• mne-tools / mne-hcp
  MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python
  ☆25Updated 9 months ago
• neurohackademy / 2018_materials
  Materials for Neurohackademy 2018 lectures, tutorials, etc.
  ☆33Updated 6 years ago
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆194Updated this week
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 5 years ago
• patrickmineault / research_code
  Writing good research code
  ☆116Updated 3 years ago
• EoinTravers / Evidently
  Simulate Evidence Accumulation Models in Python
  ☆23Updated 3 years ago
• AllenInstitute / dipde
  Numerical solver for coupled population density equations
  ☆24Updated last year