Ecosyste.ms: Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

conda-forge.org "lightgbm" keyword

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
eland 8.3.0
Eland is a Elasticsearch client Python package to analyse, explore and manipulate data that resid...
13 versions - Latest release: almost 2 years ago - 488 stars on GitHub
r-lightgbm 3.3.3
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework ...
11 versions - Latest release: over 1 year ago - 14,769 stars on GitHub
lleaves 0.2.6
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
8 versions - Latest release: almost 2 years ago - 205 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
Top 2.5% on conda-forge.org
lightgbm 3.3.3
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based...
21 versions - Latest release: over 1 year ago - 24 dependent packages - 100 dependent repositories - 14,769 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 registry
92 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
fasttreeshap 0.1.2
Fast SHAP value computation for interpreting tree-based models
1 version - Latest release: over 1 year ago - 386 stars on GitHub