cuic0808 Goto Github PK

learn-python3

Learn Python 3 Sample Code

limo_tools

Hierarchical Linear Modelling for MEEG data

machine-learning-session

matconvnet

MatConvNet: CNNs for MATLAB

matlab-machine-learning-recipes

Source Code for 'MATLAB Machine Learning Recipes' by Michael Paluszek and Stephanie Thomas

matplotlib

matplotlib: plotting with Python

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mne-workshops

A collection of workshop materials.

mne_pratical_meeg_2022

Materials for MNE-Python sessions at Practical MEEG 2022

models

Models and examples built with TensorFlow

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nn-brain

Tutorial codes for modeling brains with neural nets

notes-linear-algebra

线性代数笔记

notes-python

中文 Python 笔记

nsci801-quantneuro

NSCI 801 (Queen's U) Quantitative Neuroscience course materials

nsgportal

EEGLAB plugin for NSG

pacmeg

MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data

practical-programming-books

这里收录比较实用的计算机相关技术书籍，可以在短期之内入门的简单实用教程、一些技术网站以及一些写的比较好的博文，欢迎Fork，你也可以通过Pull Request参与编辑。

psychopy

For running psychology and neuroscience experiments

psychopyparadigms

Experimental Paradigms written for PsychoPy

psychtoolbox-3

Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research.

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

pyddm

A drift-diffusion modeling (DDM) framework for Python

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

r4psy

R for psychological research (NNU grad course)

rlssm

Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.

statsusingr

tensorflow

An Open Source Machine Learning Framework for Everyone