LI Chao's Projects
Use DNN to study the brain and use brain measurement to evaluate DNN
DPABI: a toolbox for Data Processing & Analysis of Brain Imaging
A matlab toolbox for easily accessible multivariate analysis of (neuro-) scientific data.
demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)
A memory-efficient implementation of DenseNets
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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.
FeAture Explorer
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!
Code to Run FDR correction of P-values
Multi-Voxel Pattern Analysis (whole-brain searchlight) using Support Vector Machine Classification & Regression
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.
Calculation of Functional Striatal Abnormalities (FSA) score for individuals with schizophrenia
Group ICA software (MATLAB)
Group ICA/IVA software (MATLAB)
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.
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A Graph-theoretical Network Analysis Toolkit in MATLAB
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地
Toolbox for segmentation and characterisation of transient connectivity
Hummingbird compiles trained ML models into tensor computation for faster inference.
Heterogeneity through discriminative analysis
Distributed Asynchronous Hyperparameter Optimization in Python
Hyper-parameter optimization for sklearn
Implementation of Super Resolution CNN in Keras.
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
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.