69 skills found · Page 3 of 3
WhitestoneYang / SpocAn integrated Python package for molecular descriptor generation, data processing, model training, and hyper-parameter optimization.
jgarcia2411 / Energy Supply Smart HomeKeras - LSTM and Genetic Algorithms for hyper-parameters optimization
vibhavermaa / Hybrid GA SVR ModelThis hybrid model is used to optimize the feature set and SVR hyper parameters.
muhammadrezaulkarim / UnbalancedClassesSciKitLearnPythonContains python code for building multi-class classifiers in scikit-learn. Class balancing, feature transformation, feature selection, hyper-parameter optimization and K-fold stratified cross-validation are performed for each classifier type
dungtran209 / Traveling Salesman Problem With GA Hyper HeuristicA Genetic-based Hyper-heuristics framework to optimize the parameters of Simulated Annealing Algorithm with application in Travelling Salesman Problem (TSP)
DhavalThkkar / HyperParameter OptimizationUsing KerasClassifier and GridSearchCV to improve the accuracy of the Convolutional Neural Network.
enyac-group / HyperpowerHardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)
gulabpatel / Hyper Parameter OptimizationWe will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
mehdidc / FluentoptA flexible hyper-parameter optimization library for machine learning
dananjayamahesh / MunichBFORMuNic-BFor: Multi-Niche Bacterial Foraging (Evolutionary) Algorithm for Multimodal Dynamic Optimizations (intially developed for hyper-parameter optimizations of neural networks)
amal-hasni / Hyperparameter OptimizationThis repository contains python scripts demonstrating how to use 5 hyper-parameter optimization methods
cebes / Hyper OptimizerConvenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
tanayag / Tutorial Hyperparameter OptimizationA tutorial on Hyper-Parameter Optimization
jabhinav / Bayesian Optimization For Hyper Parameter TuningSpearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.
ChristianMichelsen / HyperParameterOptimizationPresentationHyperparameter optimization presentation given at the master level course Big Data Analysis / Applied Machine Learning (University of Copenhagen)
TITHI-KHAN / Ensemble Learning And Tuning And Tree Pruning And Hyper Parameter OptimizationNo description available
konschat / Concrete Compressive StrengthMachine Learning algorithms and research towards hyper-parameter optimization(no Grid Search)/importance on the Concrete Compressive Strength dataset
copperwiring / Scalable Hpo PybayThis repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
eveneveno / GPCV ADMM MLSP2020Implementations of Gaussian Process Regression Hyper-Parameter Optimization Using Cross-Validation and Non-linearly Constrained ADMM
aakamishra / PhossDistributed Hyper-Parameter Optimization Search Simulator
