shouhengtuo's repositories
AMHF-TP
Multifunctional Therapeutic Peptides Prediction Based on Attention Mechanisms and Multi-granularity Hierarchical Features
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
ChatGLM3
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
DeepACO
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
EduCDM
The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).
evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
fast_feature_selection
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
feature-selection-for-machine-learning
Code repository for the online course Feature Selection for Machine Learning
feature_selection
Feature selection techniques for regression models.
GNN-Tutorial
B站GNN教程资料
LLM-as-HH
Large Language Models as Hyper-Heuristics for Combinatorial Optimization (CO)
LLM4Opt
A Collection on Large Language Models for Optimization
mamba
Mamba SSM architecture
NEFM_RMI_DNN
A national economy forecasting model based on regional multi-industry panel data and deep neural network
One-Shot-Cardinality-NN-Solver
Official implementation of our ICLR 2023 paper "Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case"
opro
official code for "Large Language Models as Optimizers"
PyCCEA
A Python package of Cooperative Co-Evolutionary Algorithms (CCEAs) for feature selection in big data.
pykan
Kolmogorov Arnold Networks
pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
tabular-feature-selection
Repository for the feature selection with tabular models
Time-Series-Library
A Library for Advanced Deep Time Series Models.
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.