Shanshan Tang's repositories
ADAS_MRI
A Matlab implementation for predicting the change of ADAS scores using brain MRI with single and multi-task learning.
awesome-genetic-programming
A curated list of resources for genetic programming.
BPALM
Multi-block Bregman proximal alternating linearized minimization
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. 🤠
EvolutionaryComputation-
Introduction to Evolutionary Computation class
exclusive-lasso
Exclusive sparsity support recovery
ExclusiveLassoForMTFL
Generalized Linear Models with the Exclusive Lasso Penalty
general_matlab
General matlab tools, mostly for machine learning for brain imaging
GLUE-baselines-NLU-MTL
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
gptips2f-matlab
GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved
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）
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
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
MALSAR
Multi-task learning via Structural Regularization
mfea-ii
MFEA 2 (or MFEA-II). Multifactorial Evolutionary Optimization with Online Transfer Parameter Estimation in Python
mimic3-benchmarks-dataset
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
MTMT
Tensor-based Temporal Multi-Task Survival Analysis
MTO-Platform
Multi-Task Optimization Platform 多任务优化平台
MTSCCALR
Multi-task sparse canonical correlation analysis and logistic regression.
PathWalks
PathWalks is a random walk based algorithm where a walker crosses a pathway-to-pathway network under the guidance of a disease-related map. The latter is a gene network that we construct by integrating multi-source information regarding a specific disease. The most frequent trajectories highlight communities of pathways that are expected to be strongly related to the disease under study.
python-ggseg_brainheatmap
Python module for ggseg-like visualizations
SMLFDL-feedback
Unofficial implementation of SVMs multi-class loss feedback based discriminative dictionary learning in python
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
TaylorGP
Taylor Genetic Programming for Symbolic Regression
TKDE-SMART
This repo contains the information for TKDE paper: Spatio-temporal Multi-task Learning via Tensor Decomposition
VSTG-MTL
Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)