Amgroot-w's Stars
ryojitanabe/reproblems
A set of real-world multi-objective optimization problems
EMI-Group/GMOEA
Official implementation of GMOEA.
songbai-liu/ALMOEA
songbai-liu/LCMOEA
yeyulongg/DIP-DMOEA
thieu1995/mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
PdIPS/CBXpy
A python package for consensus-based optimization
Evolutionary-Intelligence/pypop
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
SUSTech-Application/SUSTechapplication
南方科技大学飞跃手册同步仓库
EMI-Group/evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
VeritasXu/FDD-MOEA
A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization
HandingWang/DDMOP
Competition on Online Data-Driven Multi-Objective Optimization
znstrider/plottable
most pretty & lovely tables with matplotlib
neucn/ipgw
东北大学校园网关客户端
RisenAgain/SMEA
A Self-Organizing Multiobjective Evolutnary Algorithm implemented to find coherent biclusters in the data
lmcinnes/umap
Uniform Manifold Approximation and Projection
andrii619/PPCA
Implementation of Probabilistic Principal Component Analysis
yzp0111/myKmeans
python实现kmeans聚类算法
anish-lakkapragada/SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
hichenway/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
L1aoXingyu/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
M-3LAB/open-iad
Image anomaly detection benchmark in industrial manufacturing
DAMO-DI-ML/AI-for-Time-Series-Papers-Tutorials-Surveys
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
DAMO-DI-ML/NeurIPS2023-One-Fits-All
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
DAMO-DI-ML/KDD2023-DCdetector
leftthomas/SimCLR
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Spijkervet/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
coder-duibai/Contrastive-Learning-Papers-Codes
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.