xiaoxiaomaiyatang2014

awesome-multi-task-learning

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

proximalSolver

First-order proximal optimization algorithms for non-smooth problems

pyProxSolver

A proximal optimization solver in Python

TaylorGP

Taylor Genetic Programming for Symbolic Regression

SSALD

Semi-supervised Active Learning Neural Network for Data Stream with Concept Drift

The-code-of-HCE-I

MCMO

Reduced-space Multistream Classification Framework based on Multi-objective Optimization

IWE

Incremental Weighted Ensemble for Data Streams with Concept Drift

DES-ICD

The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"

zhongdamaopu

中大猫谱小程序（小程序更名为笃行猫谱）

ENIGMA

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. 🤠

python-ggseg

Python module for ggseg-like visualizations

awesome-genetic-programming

A curated list of resources for genetic programming.

evolution

Introduction to Evolutionary Computation class

BPALM

Multi-block Bregman proximal alternating linearized minimization

FaNCL

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

cocain-bpg-matrix-factorization

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

nmc

Matrix Completion Using the Nonconvex Regularized Proximal Gradient Algorithm

multi_task_learning

Multi-task feature learning

MTMF

This is the code for our work: On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning. The code is based on MTL https://ttic.uchicago.edu/~argyriou/code/index.html

MTL-SGL

A Multi-Task Learning Sparse Group Lasso (MTL-SGL) model for antigenic quantification and prediction of Influenza A(H1N1) viruses.

exclusive-lasso

Exclusive sparsity support recovery

multimodal_dictionary_learning

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

GLUE-baselines

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

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

ADMMSoftmax

SymbolicRegression

Symbol-Regression-of-NoiseData-Based-on-Genetic-Programming

使用遗传规划解决带噪声数据的符号回归问题

stock-knowledge-graph

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

GO_MTL

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