xiaoxiaomaiyatang2014 Goto Github PK

adas_mri

A Matlab implementation for predicting the change of ADAS scores using brain MRI with single and multi-task learning.

admmsoftmax

awesome-genetic-programming

A curated list of resources for genetic programming.

awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

bayes-mtl-traj

Bayesian multi-task learning based parametric trajectory model

bpalm

Multi-block Bregman proximal alternating linearized minimization

caffe

Caffe: a fast open framework for deep learning.

cocain-bpg-matrix-factorization

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

combatharmonization

Harmonization of multi-site imaging data with ComBat

deap

Distributed Evolutionary Algorithms in Python

enigma_brainheatmap

The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠

evidenceaggregateddriverranking

Ranking methodology of potential Driver genes using multi-view feature sets

evolutionarycomputation-

Introduction to Evolutionary Computation class

exclusive-lasso

Exclusive sparsity support recovery

exclusivelassoformtfl

Generalized Linear Models with the Exclusive Lasso Penalty

fancl_low-rank_proximal

Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code

general_matlab

General matlab tools, mostly for machine learning for brain imaging

gernnc

All experimental code (MATLAB)

glue-baselines-nlu-mtl

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

go_mtl

A MATLAB Implementation of GO_MTL; Learning Task Grouping and Overlap in Multi-task Learning (ICML 2012)

gptips2f-matlab

GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved

hello-word

My first repository

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

imtl

interactive Multi-Task Learning

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

l11_admm_multimodal_dictionary_learning

The code for the paper "Multimodal Task-driven Dictionary Learning for Image Classification".

libadmm-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

lq_sub_one_norm_nmc

Matrix Completion Using the Nonconvex Regularized Proximal Gradient Algorithm

machine-learning-octave

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard