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dnnbrain

Use DNN to study the brain and use brain measurement to evaluate DNN

dpabi

DPABI: a toolbox for Data Processing & Analysis of Brain Imaging

easylearn

easyupmvpa

A matlab toolbox for easily accessible multivariate analysis of (neuro-) scientific data.

edge-centric_demo

demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

explainableml-vision

This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

fae

FeAture Explorer

fastgpt

FastGPT is a knowledge-based platform built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!

fdr_corrected_p-value

Code to Run FDR correction of P-values

fmri_mvpa

Multi-Voxel Pattern Analysis (whole-brain searchlight) using Support Vector Machine Classification & Regression

fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

fsa

Calculation of Functional Striatal Abnormalities (FSA) score for individuals with schizophrenia

gift

Group ICA software (MATLAB)

gift-1

Group ICA/IVA software (MATLAB)

gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gretna

A Graph-theoretical Network Analysis Toolkit in MATLAB

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

halfrost-field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

hydra

Heterogeneity through discriminative analysis

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-sklearn

Hyper-parameter optimization for sklearn

image-super-resolution

Implementation of Super Resolution CNN in Keras.

imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.