hlmpsy Goto Github PK

hbm2019s_irrh

Codes of 'IsRedReallyHot' project, for HumanBrainMapping1 @SKKU GBME

hemodynamicresponsemodeling

modeling hemodynamic response functions of the BOLD signal

hierarchical-clustering

基于层次聚类算法的无向图聚类实现 implementation of hierarchical clustering method

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

icon2017

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

imap4

iMap4 - Spatial mapping of eye movement data (e.g., fixation map) using Linear Mixed Models

iowa-ecog

MATLAB files for behavioural ECoG experiments

itns

Introduction to the New Statistics datasets

itrack

Matlab toolbox for importing and processing eye tracking data from EyeLink eye trackers

jash-good-idea-20200304-001

耕莘護專 ~ 示範的3D口罩折法(Jash-good-idea-20200304-001)

jaspbook

Source files for "Learning Statistics with JASP"

jinchess-et-eeg

keras-gan

Keras implementations of Generative Adversarial Networks.

lab

A customisable 3D platform for agent-based AI research

lectures_on_neuroimaging

leida

Leading Eigenvector Dynamics Analysis

libsvm

localizer-task

M1/V1/A1 localizer task, with detection and estimation configurations

machine-learning

深度学习pdf

machine-learning-book-pirated

机器学习中深度学习、强化学习、监督学习、集成学习相关的影印版pdf书籍

machine-learning-by-scikit-learn-algorithms-and-practices

scikit-learn机器学习 常用算法原理及编程实战 黄永昌编著

machine-learning-homework

Matlab Coding homework for Machine Learning

machine-learning-in-action

机器学习实战

machine-learning-mastery-with-python

book by Dr. Jason Brownlee

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machinelearning

Machine Learning in Action（机器学习实战-笔记）

machinelearning-1

一些关于机器学习的学习资料与研究介绍

machinelearning_basicalgorithm

保存个人机器学习代码，包含：决策树、KNN、SVM、神经网络、简单线性回归、多元线性回归、Kmeans、层次聚类。对应文档 ：http://blog.csdn.net/YEN_CSDN/article/category/6725711

machinelearning_python

机器学习算法python实现

machinelearningwithme

《跟我一起机器学习》