athms / deep-learning-basicsLinks
An introduction to the basics of deep learning.
☆20Updated 4 years ago
Alternatives and similar repositories for deep-learning-basics
Users that are interested in deep-learning-basics are comparing it to the libraries listed below
Sorting:
- ☆16Updated 3 years ago
- ☆16Updated 3 years ago
- ☆39Updated 7 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 6 years ago
- MEG MVPA Tutorial☆32Updated 4 years ago
- List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)☆46Updated 2 years ago
- Tutorials that cover topics from basics to advanced fMRI analysis☆49Updated 5 years ago
- Repository for Sanchez-Romero, R., & Cole, M. W. (2021). "Combining multiple functional connectivity methods to improve causal inferences…☆22Updated 9 months ago
- A client for accessing OpenNeuro datasets, written in Python.☆71Updated last week
- ☆36Updated last year
- An overview of the OpenLists organization, and description of the available lists.☆54Updated 3 years ago
- Pattern Component Modelling toolbox for multivariate analysis☆33Updated 9 months ago
- This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught…☆118Updated last year
- Princeton Handbook for Reproducible Neuroimaging☆19Updated 2 years ago
- ☆12Updated 3 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 3 years ago
- Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)☆36Updated 3 years ago
- An exploration of how to use inter-subject representational similarity analysis (is-RSA) to study individual differences in brain activit…☆19Updated 5 years ago
- Materials for NH2020☆96Updated 3 years ago
- The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network si…☆44Updated 8 months ago
- Code & Data for Computational Psychiatry Course Tutorial on Machine Learning☆37Updated 3 years ago
- A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG☆124Updated 4 years ago
- Multiple-target linear models - CPU/GPU☆102Updated 2 weeks ago
- MACS – a new SPM toolbox for model assessment, comparison and selection☆24Updated 2 years ago
- talks on running a lab☆18Updated 2 years ago
- fmri analysis tools☆21Updated 4 years ago
- Python-based Reliability in MRI: Calculating Group level and Individual Level Similarity between runs and sessions.☆37Updated 2 months ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 10 months ago
- reliability calculation in shiny app☆20Updated 2 years ago
- A jupyter book for the OHBM educational workshop on analyzing naturalistic data.☆44Updated last year