jasonneyr27

jasonneyr27's Stars

• AdrianRinconCol/Well-Log-Prediction

  Well los prediction using RNN LSTM

  Language:Jupyter Notebook5

• yxycug/Seismic-Facies-classification

  Language:Jupyter Notebook336

• XAIseries/XEM

  XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification

  Language:Python132

• ChangWeiTan/MultiRocket

  Multiple pooling operators and transformations for fast and effective time series classification

  Language:TypeScript10023

• Navidfoumani/Disjoint-CNN

  Disjoint-CNN for Multivariate Time Series Classification

  Language:TypeScript181

• angus924/minirocket

  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

  Language:Python29134

• angus924/rocket

  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

  Language:Python41656

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python7.9k1.4k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3.8k

• chamwen/JPDA

  Code for discriminative joint probability MMD (DJP-MMD)

  Language:Python4413

• GuHongyang/LapSVM-python

  Laplacian Support Vector Machines

  Language:Python213

• rasif-ahmadah/PSO-ELM

  Heart Disease Diagnosis using PSO-ELM

  Language:Jupyter Notebook73

• thuijskens/bayesian-optimization

  Python code for bayesian optimization using Gaussian processes

  Language:Jupyter Notebook307127

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1.5k

• scikit-optimize/scikit-optimize

  Sequential model-based optimization with a `scipy.optimize` interface

  Language:Python2.7k547

• distillpub/post--bayesian-optimization

  Exploring Bayesian Optimization

  Language:Jupyter Notebook7216

• jpawitro/001-sars-cov-2-protein-classification

  Protein classification of SARS-COV2 using LightGBM Classifier with bayesian optimization over hyper parameters and elastic net as feature selection algorithm.

  Language:Jupyter Notebook1

• Polarni1/Tree-based-boosting-algorithm-testing

  Data set simulation and Bayesian optimization for XGBoost, LightGBM and CatBoost

  Language:Jupyter Notebook1

• ennis-kurt/Bayesian-Optimization-of-LightGBM-classifier-for-flight-departures-

  Language:Jupyter Notebook2

• mave5/lgbm_tuner

  Automatic hyper-parameter optimization of LightGBM with Bayesian optimization

  Language:Jupyter Notebook1

• CoRiis/bayesian-optimization-lightgbm

  Language:Jupyter Notebook2

• nickkunz/nestedhyperboost

  Nested Cross-Validation for Bayesian Optimized Gradient Boosting

  Language:Python172

• HunterMcGushion/hyperparameter_hunter

  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

  Language:Python706100

• geangohn/Bayesian-Optimization

  My own realization of Bayesian Optimization for LightGBM

  Language:Jupyter Notebook32

• jia-zhuang/xgboost-lightgbm-hyperparameter-tuning

  Bayesian Optimization and Grid Search for xgboost/lightgbm

  Language:Python6415