Alternatives and similar repositories for BCS_workshop_Jan_22

Users that are interested in BCS_workshop_Jan_22 are comparing it to the libraries listed below

• neuroailab / lr-identify
  A large database of artificial neural network statistics during training
  ☆15Updated 5 years ago
• lacerbi / bamb2022-model-fitting
  Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.
  ☆24Updated 3 years ago
• CYHSM / DeepInsight
  A general framework for interpreting wide-band neural activity
  ☆159Updated 4 years ago
• patrickmineault / research_code
  Writing good research code
  ☆117Updated 4 years ago
• charlesfrye / AppliedStatisticsForNeuroscience
  Materials for UC Berkeley Neuroscience 299
  ☆53Updated 6 years ago
• neuropsychology / CognitiveControl
  A neuropsychological task measuring different aspects of cognitive control (processing speed, inhibition, conflict resolution...)
  ☆36Updated 6 years ago
• LegrandNico / CognitiveModeling
  Course material for the Advanced Cognitive Modeling class (Master students, Aarhus University)
  ☆20Updated 4 years ago
• pranaysy / ETCPy
  Compute Effort To Compress (ETC) using the NSRPS algorithm in Python
  ☆18Updated 4 years ago
• OscillationMethods / OscillationMethods
  Methodological considerations for analyzing and interpreting neural oscillations.
  ☆31Updated 2 years ago
• alfredcai / Coursera-Computational-NeuroScience
  Coursera Computational-NeuroScience course of the University of Washington
  ☆89Updated 3 years ago
• COGS108 / FinalProjects-Sp20
  COGS 108 Final Projects (Spring 2020) - Data Science in Practice by Prof. Shannon Ellis
  ☆12Updated 5 years ago
• murraylab / PsychRNN
  ☆140Updated 2 years ago
• patrickmineault / big-neuro-ideas
  An ongoing journal club for the study of big ideas in neuro
  ☆34Updated 3 years ago
• ContextLab / computational-neuroscience
  Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …
  ☆51Updated 2 years ago
• ContextLab / chatify
  Add ipython magic commands to Jupyter notebooks that provide LLM-driven enhancements
  ☆21Updated last year
• marcelbinz / GPT3goesPsychology
  ☆35Updated 3 years ago
• hubertjb / dynamic-spatial-filtering
  Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021
  ☆30Updated 3 years ago
• COGS108 / Tutorials
  Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.
  ☆81Updated 8 months ago
• btel / python-in-neuroscience-tutorials
  Collection of tutorials about methods of computational neuroscience using Python
  ☆81Updated 8 years ago
• ramp-kits / autism
  Data Challenge on Autism Spectrum Disorder detection
  ☆72Updated 2 years ago
• poldrack / pytest_tutorial
  simple pytest tutorial
  ☆69Updated 10 months ago
• ViCCo-Group / SPoSE
  Sparse Positive Object Similarity Embedding(s)
  ☆22Updated 2 years ago
• tsujimurah / Python_for_NeuroMatch
  ☆12Updated 5 years ago
• DurstewitzLab / dendPLRNN
  ☆22Updated last year
• john-s-butler-dit / Basic-Introduction-to-Python
  Introduction to Mathematics and Python using Neuroscience Examples
  ☆46Updated 2 years ago
• kuffmode / msa
  Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
  ☆19Updated 6 months ago
• neural-reckoning / neural-reckoning-website
  Website for Neural Reckoning group
  ☆16Updated last week
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆198Updated 8 months ago
• AllenInstitute / SWDB_2018
  Course materials for the 2018 Summer Workshop on the Dynamic Brain
  ☆23Updated 7 years ago
• jinglescode / papers
  Summaries of machine learning papers
  ☆12Updated 3 years ago