sh4r11f Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

course-content

NMA Computational Neuroscience course

dartbrains

This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.

dcclassify

devxl.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

fopp-pbs

Foundations of Python Programming

forty-jekyll-theme

A Jekyll version of the "Forty" theme by HTML5 UP.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

nilearn

Machine learning for NeuroImaging in Python

nma-rep-drift

Repo for analysis of representational drift with Allen institute data (NMA Sachertorte Pod Group 1)

nn-brain

Tutorial codes for modeling brains with neural nets

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

psyc161

An Introduction to Programming for Psychologists & Neuroscientists Course at Dartmouth PBS

psyc161-hw-factorial

A very simple Python project to demo basic testing and integration with travis

psyc161-nbackseq

A mini project to generate balanced sequeces

psyc164

MVPC and RSA analysis

psychopy

For running psychology and neuroscience experiments

rl-book

Problems and exercises of Sutton and Barto book

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.