Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
conda-forge.org "xgboost" keyword
featurewiz 0.1.87
Use advanced feature engineering strategies and select best features from your data set with a si...7 versions - Latest release: almost 2 years ago - 374 stars on GitHub
r-xgboost-gpu 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...5 versions - Latest release: over 1 year ago - 23,883 stars on GitHub
r-xgboost-cpu 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 23,883 stars on GitHub
py-xgboost-gpu 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...5 versions - Latest release: over 1 year ago - 23,883 stars on GitHub
Top 2.6% on conda-forge.org
18 versions - Latest release: over 1 year ago - 13 dependent packages - 122 dependent repositories - 23,883 stars on GitHub
py-xgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 13 dependent packages - 122 dependent repositories - 23,883 stars on GitHub
Top 7.0% on conda-forge.org
1 version - Latest release: over 5 years ago - 2 dependent packages - 36 dependent repositories - 23,883 stars on GitHub
_py-xgboost-mutex 2.0 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...1 version - Latest release: over 5 years ago - 2 dependent packages - 36 dependent repositories - 23,883 stars on GitHub
Top 7.1% on conda-forge.org
18 versions - Latest release: over 1 year ago - 7 dependent packages - 3 dependent repositories - 23,883 stars on GitHub
r-xgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 7 dependent packages - 3 dependent repositories - 23,883 stars on GitHub
Top 1.9% on conda-forge.org
24 versions - Latest release: over 1 year ago - 23 dependent packages - 221 dependent repositories - 23,883 stars on GitHub
xgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...24 versions - Latest release: over 1 year ago - 23 dependent packages - 221 dependent repositories - 23,883 stars on GitHub
py-xgboost-cpu 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 23,883 stars on GitHub
dtreeviz 1.4.0
A python library for decision tree visualization and model interpretation.13 versions - Latest release: over 1 year ago - 3 dependent packages - 1 dependent repositories - 2,458 stars on GitHub
mlforecast 0.3.1
Scalable machine 🤖 learning for time series forecasting.8 versions - Latest release: over 1 year ago - 1 dependent repositories - 270 stars on GitHub
eli5 0.13.0
ELI5 is a Python package which helps to debug machine learning classifiers and explain their pred...11 versions - Latest release: almost 2 years ago - 1 dependent package - 14 dependent repositories - 2,652 stars on GitHub
_r-xgboost-mutex 2.0 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...1 version - Latest release: over 5 years ago - 2 dependent packages - 1 dependent repositories - 23,883 stars on GitHub
Top 5.2% on conda-forge.org
18 versions - Latest release: over 1 year ago - 4 dependent packages - 37 dependent repositories - 23,883 stars on GitHub
libxgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 4 dependent packages - 37 dependent repositories - 23,883 stars on GitHub
hypergbm 0.2.5
HyperGBM is a full pipeline automated machine learning (AutoML) toolkit designed for tabular data...8 versions - Latest release: about 2 years ago - 257 stars on GitHub
neptune-client 0.16.12
:ledger: Experiment tracking tool and model registry92 versions - Latest release: over 1 year ago - 8 dependent packages - 18 dependent repositories - 372 stars on GitHub
mljar-supervised 0.11.3
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data...5 versions - Latest release: over 1 year ago - 2,520 stars on GitHub
autoviz 0.1.58
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadr...29 versions - Latest release: over 1 year ago - 1 dependent repositories - 1,264 stars on GitHub
fasttreeshap 0.1.2
Fast SHAP value computation for interpreting tree-based models1 version - Latest release: over 1 year ago - 386 stars on GitHub
dtreeviz-extended 1.4.0
A python library for decision tree visualization and model interpretation.9 versions - Latest release: over 1 year ago - 2,456 stars on GitHub
Related Keywords
machine-learning
17
gbm
11
gbrt
10
gbdt
10
distributed-systems
10
lightgbm
6
python
5
scikit-learn
5
data-science
4
random-forest
4
visualization
4
automl
3
shap
2
dask
2
automated-machine-learning
2
feature-engineering
2
catboost
2
decision-trees
2
model-interpretation
2
automatic-machine-learning
1
pytorch
1
versioning
1
repository
1
rl
1
tensorflow
1
optuna
1
optimization
1
monitoring
1
mlops
1
ml
1
machine
1
logging
1
logger
1
best-encoders
1
decision-tree
1
ensemble
1
hyper-parameters
1
hyperparameter-optimization
1
mljar
1
models-tuning
1
neural-network
1
tuning-algorithm
1
auto-sklearn
1
automl-algorithms
1
python3
1
tableau
1
tpot
1
explainable-ai
1
interpretability
1
categorical-variables
1
feature-engg
1
feature-extraction
1
feature-selection
1
featuretools
1
rfe
1
rfecv
1
forecast
1
forecasting
1
time-series
1
crfsuite
1
explanation
1
inspection
1
nlp
1
adversarial-validation
1
dask-distributed
1
datacleaning
1
distributed-training
1
ensemble-learning
1
fullpipeline
1
gpu-acceleration
1
preprocessing
1
pseudo-labeling
1
rapidsai
1
semi-supervised-learning
1
sklearn
1
tabular-data
1
comparison
1
dl
1
keras
1
learning
1