mschoettner

mschoettner's Stars

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++7k471.8k359

• snorkel-team/snorkel

  A system for quickly generating training data with weak supervision

  Language:Python5.8k166980857

• mrdbourke/tensorflow-deep-learning

  All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

  Language:Jupyter Notebook5.3k162962.6k

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python4k76134518

• pymc-devs/pymc-resources

  PyMC educational resources

  Language:Jupyter Notebook2k6675745

• raphaelvallat/pingouin

  Statistical package in Python based on Pandas

  Language:Python1.6k31302140

• nilearn/nilearn

  Machine learning for NeuroImaging in Python

  Language:Python1.2k682.1k611

• hans/obsidian-citation-plugin

  Obsidian plugin which integrates your academic reference manager with the Obsidian editor. Search your references from within Obsidian and automatically create and reference literature notes for papers and books.

  Language:TypeScript1.1k1724583

• PyMVPA/PyMVPA

  MultiVariate Pattern Analysis in Python

  Language:Python31336280135

• gyyang/nn-brain

  Tutorial codes for modeling brains with neural nets

  Language:Jupyter Notebook2118165

• strawlab/best

  Bayesian estimation supersedes the t test

  Language:Python14515437

• nipy/niwidgets

  Neuroimaging widgets for jupyter notebooks

  Language:Jupyter Notebook84103434

• HALFpipe/HALFpipe

  ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data

  Language:Python74417513

• connectomicslab/connectomemapper3

  Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

  Language:HTML71511429

• wiheto/netplotbrain

  A package to create simple 3D network visualizations on a brain.

  Language:Python683477

• tmdemelo/pydcm

  Dynamic Causal Modeling with Python

  Language:Python33203

• neurodatascience/course-materials-2020

  Materials for the 2020 NeuroDataScience Course (McGill QLS612)

  Language:Jupyter Notebook287032

• MIPLabCH/nigsp

  NiGSP: a module for graph signal processing on neuroimaging data

  Language:Python1831212

• IanEisenberg/Self_Regulation_Ontology

  Language:Jupyter Notebook164017

• neurodatascience/NeuroCI

  Language:Python14117

• sahahn/BPt

  The Brain Predictability toolbox (BPt), is a python based Machine Learning library designed primarily for tabular and neuroimaging specific neuroimaging data but can easily be generalized further.

  Language:Python11336

• codefirstio/ai-image-generator-python

  Source code for Youtube video: https://youtu.be/YSuWejNaSfE

  Language:Python8102

• matthewvowels1/SLEM

  SLEM: Super Learning Equation Modeling for General Causal Inference with DAGs

  Language:Jupyter Notebook7210

• jannisborn/greentastic_backend

  An iOS app for transportation comparison

  Language:Python65251

• asizemore/multilayer_network_examples

  Code to accompany multilayer network educational presentation at OHBM 2020.

  Language:HTML4000

• LMN-Marburg/bids_script

  Script to get data from the folder into BIDS

  Language:Python3272

• G0RELLA/gorella_base

  The GORELLA base repository with the complete skeleton for project generation.

  Language:Python21

• matthewvowels1/causalPipeline

  A collection of causal resources for psychologists and social scientists

  Language:Python2200

• G0RELLA/gorella_overview

  The introduction and overview page for the GORELLA project.

  Language:Python12

• osumontreal/opensci-resources-for-neuro-ai

  The goal of this repository is to gather resources students working at the intersection of Neuro-AI to make the process of their research more transparent, reproducible, and open.

  1200