Alternatives and similar repositories for AppliedStatisticsForNeuroscience

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

• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 3 years ago
• poldrack / pytest_tutorial
  simple pytest tutorial
  ☆69Updated 9 months ago
• alexhuth / ndap-fa2018
  neuro data analysis in python
  ☆32Updated 7 years ago
• CYHSM / DeepInsight
  A general framework for interpreting wide-band neural activity
  ☆159Updated 4 years ago
• lukassnoek / VoxelViz
  Visualization tool for fMRI data-sets using Plotly Dash
  ☆40Updated 7 years ago
• EoinTravers / Evidently
  Simulate Evidence Accumulation Models in Python
  ☆23Updated 4 years ago
• ContextLab / chatify
  Add ipython magic commands to Jupyter notebooks that provide LLM-driven enhancements
  ☆22Updated last year
• 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…
  ☆36Updated 8 years ago
• titipata / paper-reviewer-matcher
  Linear programming solver for paper-reviewer matching and mind-matching
  ☆86Updated 6 months ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 4 years ago
• AllenInstitute / SWDB_2018
  Course materials for the 2018 Summer Workshop on the Dynamic Brain
  ☆22Updated 7 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• kylerbrown / python-for-neuroscience
  A workshop for teaching python to neuroscientists with some previous programming experience.
  ☆35Updated 9 years ago
• mwaskom / Waskom_CerebCortex_2017
  Analysis repository for Waskom et al., (2017) Cerebral Cortex
  ☆17Updated 9 years ago
• sudharshan-ashok / pycovid
  Python package to easily access the most updated Coronavirus data using Python/PIP
  ☆59Updated 5 years ago
• poldrack / autoCV
  automatic generation of CV
  ☆129Updated 11 months ago
• ContextLab / storytelling-with-data
  Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
  ☆113Updated last year
• patrickmineault / research_code
  Writing good research code
  ☆117Updated 4 years ago
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 6 years ago
• raamana / confounds
  Conquering confounds and covariates: methods, library and guidance
  ☆40Updated last year
• practical-neuroimaging / pna2015
  Exercises for 2015 Berkeley practical neuroimaging class
  ☆26Updated 10 years ago
• raamana / neuropredict
  Easy and comprehensive assessment of predictive power, with support for neuroimaging features
  ☆104Updated 6 months ago
• lovelabUCL / dimensionality
  Estimating the functional dimensionality of neural representations
  ☆19Updated 3 years ago
• rougier / CNCC-2020
  Computational Neuroscience Crash Course (University of Bordeaux, 2020)
  ☆56Updated 4 years ago
• mne-tools / mne-hcp
  MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python
  ☆26Updated last year
• lacerbi / workshop-bristol-2019
  Introductory workshop to modeling and model fitting in psychophysics and neuroscience
  ☆11Updated 6 years ago
• poldrack / myconnectome
  Code for the myconnectome project
  ☆34Updated last week
• hddm-devs / hddm
  HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
  ☆297Updated last year
• sjgershm / RL-tutorial
  Reinforcement learning tutorial
  ☆24Updated 8 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆117Updated last week