Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+1520%)
Mutual labels: xgboost, lightgbm, hyperparameter-tuning
neptune-client📒 Experiment tracking tool and model registry
Stars: ✭ 348 (+770%)
Mutual labels: xgboost, lightgbm
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-57.5%)
Mutual labels: xgboost, lightgbm
syne-tuneLarge scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (+162.5%)
Mutual labels: bayesian-optimization, hyperparameter-tuning
stackgbm🌳 Stacked Gradient Boosting Machines
Stars: ✭ 24 (-40%)
Mutual labels: xgboost, lightgbm
KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
Stars: ✭ 26 (-35%)
Mutual labels: xgboost, lightgbm
fast retrainingShow how to perform fast retraining with LightGBM in different business cases
Stars: ✭ 56 (+40%)
Mutual labels: xgboost, lightgbm
mlforecastScalable machine 🤖 learning for time series forecasting.
Stars: ✭ 96 (+140%)
Mutual labels: xgboost, lightgbm
differential-privacy-bayesian-optimizationThis repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Stars: ✭ 22 (-45%)
Mutual labels: bayesian-optimization, hyperparameter-tuning
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (+32.5%)
Mutual labels: xgboost, lightgbm
mangoParallel Hyperparameter Tuning in Python
Stars: ✭ 241 (+502.5%)
Mutual labels: bayesian-optimization, hyperparameter-tuning
open-boxGeneralized and Efficient Blackbox Optimization System.
Stars: ✭ 64 (+60%)
Mutual labels: bayesian-optimization, hyperparameter-tuning
Kaggle-Competition-SberbankTop 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Stars: ✭ 31 (-22.5%)
Mutual labels: xgboost, lightgbm
JLBoost.jlA 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Stars: ✭ 65 (+62.5%)
Mutual labels: xgboost, lightgbm
docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (+15%)
Mutual labels: xgboost, lightgbm
decision-trees-for-mlBuilding Decision Trees From Scratch In Python
Stars: ✭ 61 (+52.5%)
Mutual labels: xgboost, lightgbm
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (+27.5%)
Mutual labels: xgboost, lightgbm
