mdjabc's Stars
open-mmlab/mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
InsulatorData/InsulatorDataSet
Provide normal insulator images captured by UAVs and synthetic defective insulator images.
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
wt-hu/pyCausalFS
pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
kkg1999/MetaheuristicOptimization
Different meta-heuristic optimization techniques for feature selection
Ritam-Guha/Feature-Selection
It contains some of the novel feature selection algorithms I've developed
JingweiToo/Advanced-Feature-Selection-Toolbox
This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided.
giorgioroffo/Infinite-Feature-Selection
Infinite Feature Selection: a Graph-based Feature Filtering Approach
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
ljvmiranda921/pyswarms
A research toolkit for particle swarm optimization in Python
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning
vikas9087/Time_Series_Analysis_Renewable_Energy
Forecast the solar energy & wind speed using SARIMA model. The Data is collected at 5 minutes interval over the year.
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
chetanc97/Machine-Learning-Notebooks
A Collection of Notebooks to help machine learning and deep learning enthusiasts explore fundamentals and understand concepts in Python . This will also be a guide to do your experiments on hyper parameters , network building or other programming heuristics .
MahimaGaikwad/Genetic-algorithm-to-find-optimize-model
Genetic algorithm for LSTM optimization
ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
sunyingjian/AI-in-well-logging
人工智能在石油测井上的应用包括采用机器学习，深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology identification and regression of related well logging data.
haoyuhu/cluster-analysis
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
rsteca/sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
aqibsaeed/Genetic-CNN
CNN architecture exploration using Genetic Algorithm
hesstobi/mosaik-powerfactory
Mosaik-Powerfactory provides an interface between DIgSILENT PowerFactory and Mosaik co-simulation framework.
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
SheffieldSolar/PV_Forecast-API
A Python implementation of the PV_Forecast web API.
StefaE/PVForecast
Forecasts to optimize electricity consumption for rooftop PV (photo-voltaic) installations