Reverse Dependencies of lightgbm

The following projects have a declared dependency on lightgbm:

• snowflake-ml-python — The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.
• social-net-img-classifier — no summary
• sovai — python for asset management
• spaceopt — Hyperparameter optimization via gradient boosting regression
• sphynxml — no summary
• spike-explainability — Package containing several methods and functions for explaining and understanding machine learning models
• stableperovskites — Regression model package predicting the energy above hull of perovskite oxides.
• stepshifter3 — A general purpose stepshifting algorithm for tabular data, based on BaseEstimator.
• stglance — stglance is a small collection of streamlit widgets (for machine learning) that you can include in your streamlit app.
• stockait — Make your stock investment smarter, join StockAit!
• stoneforge — Geophysics equations, algorithms and methods
• stringsifter — StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis.
• tabgan — Applying GAN in tabular data generation for uneven distribution
• table-data-process-lib — Library for table data processing
• tablearn — tablearn: Learner for Tabular Data
• tabular-ml — This library wraps popular tabular regression/classification model enabling rapid evaluation and optimization.
• tabular-toolbox — A library of extension and helper modules for tabular data base on python's machine learning frameworks.
• tabular-trees — Package to assist with analysis of tree-based models.
• tai-test-utils — Common basic test utilities used across various TAI tools
• task-substitution — Solve a different task which could help solve the main task
• TCAP — # TCAP
• teco-challenger-lib — no summary
• teddynote — datasets and tutorial package made and maintained by TeddyNote
• TezzAutoML — Just another AutoML library, but better and faster.
• TimeMurmur — Time series forecasting at scale with LightGBM
• titus-optimize — A package for optimizing placements of containers.
• tlrx-test-engine — AI Verify Test Engine provides core interfaces, converters, data, model and plugin managers to facilitate the development of tests for AI systems. It is used as a base library for all AI Verify official stock-plugins and can be used to develop custom plugins.
• toai — To AI helper library
• toai-mokahaiku — To AI helper library
• TPOT2 — Tree-based Pipeline Optimization Tool
• tql — description
• tql-Python — description
• tradescope — Tradescope - Crypto Trading Bot
• tradeX — Machine learning based crypto currency price prediction
• training-pipeline — no summary
• training-pipeline-mm — no summary
• trainme — tune with optuna and model
• treeboost_autograd — treeboost_autograd
• treeffuser — Probabilistic predictions for tabular data, using diffusion models and decision trees.
• treegrad — transfer parameters from lightgbm to differentiable decision trees!
• treemodel2sql — tree model transform to sql
• treewe — A Python library for energy prediction using decision trees.
• trustworthyai — SDK API to explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
• tsanalysis — Machine Learning library for time series analysis
• tsboost — Time series Framework
• TSEnsemble — A Python library for times series forecasting, which uses an ensemble of methods, including SARIMA and deep learning models
• tsforecasting — TSForecasting: Automated Time Series Forecasting Framework
• tune-easy — tune-easy: A hyperparameter tuning tool, extremely easy to use.
• twinbooster — Python package for TwinBooster: Synergising Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug Discovery
• u8darts — A python library for easy manipulation and forecasting of time series.
• uncertainty-estimation-models — This is the main library for the uncertainty estimation project.
• unifiedbooster — Unified interface for Gradient Boosted Decision Trees
• vai-utils — VAI utils
• vclean — vClean: Assessing the contamination of viral genomes
• vectice — Vectice Python library
• volkanoban — A powerful stacking classifier framework that integrates advanced machine learning techniques, overfitting prevention, and explainability features such as LIME, SHAP, and model interpretation dashboards.
• westData — A small example package
• wgcpy — Data analysis and PMML model framework!
• whyshift — A package of various specified distribution shift patterns of out-of-distributoin generalization problem on tabular data, and tools for diagnosing model performance are integrated.
• wideboost — Implements Wide Boosting functions for popular boosting packages
• wolta — Data Science Library
• wsppchem — Water Solubility Prediction Project
• wzyFunc — My Python Package
• XeroML — A data management platform
• xfeat — Feature Engineering & Exploration Library using GPUs and Optuna
• xorbits — Scalable Python data science, in an API compatible & lightning fast way.
• xtoy — get xtoyed predictions from raw data
• yaib — Yet Another ICU Benchmark is a holistic framework for the automation of the development of clinical prediction models on ICU data. Users can create custom datasets, cohorts, prediction tasks, endpoints, and models.
• Yikai-helper-funcs — Test nbdev for developing packages for self-resue
• yikit — This is my own tool kit.
• Yuan — description