nyaggle
Code for Kaggle and Offline Competitions.
- nyaggle
- kaggle
- experiment-tracking
- feature-engineering
- machine-learning
- ml
7 packages found
lightautoml-gpu
Fast and customizable framework for automatic ML model creation (AutoML)
- automated-machine-learning
- automl
- blackbox
- classification
- data-science
- ensembling
- feature-engineering
- gradient-boosting
- kaggle
- lama
- linear-model
- model-selection
- multiclass
- nlp
- parameter-tuning
- pipeline
- pytorch
- regression
- stacking
- whitebox
com.microsoft.ml.lightgbm:lightgbmlib
A fast, distributed, high performance gradient boosting framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- data-mining
- decision-trees
- distributed
- gbdt
- gbm
- gbrt
- gradient-boosting
- kaggle
- lightgbm
- machine-learning
- microsoft
- parallel
- python
- r
catboost
CatBoost Python Package
- catboost
- big-data
- categorical-features
- coreml
- cuda
- data-mining
- data-science
- decision-trees
- gbdt
- gbm
- gpu
- gpu-computing
- gradient-boosting
- kaggle
- machine-learning
- python
- r
- tutorial
ai.catboost:catboost-spark-macros_2.12
CatBoost for Apache Spark Scala macros library
- big-data
- catboost
- categorical-features
- coreml
- cuda
- data-mining
- data-science
- decision-trees
- gbdt
- gbm
- gpu
- gpu-computing
- gradient-boosting
- kaggle
- machine-learning
- python
- r
- tutorial
lightgbm
LightGBM Python-package
- data-mining
- decision-trees
- distributed
- gbdt
- gbm
- gbrt
- gradient-boosting
- kaggle
- lightgbm
- machine-learning
- microsoft
- parallel
- python
- r
rgf-python
Scikit-learn Wrapper for Regularized Greedy Forest
- Machine
- Learning
- decision-forest
- decision-trees
- ensemble-model
- kaggle
- machine-learning
- ml
- regularized-greedy-forest
- rgf
