sb-ai-lab / Py-BoostLinks
Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
☆193Updated 5 months ago
Alternatives and similar repositories for Py-Boost
Users that are interested in Py-Boost are comparing it to the libraries listed below
Sorting:
- Python based GBDT implementation☆29Updated 3 years ago
- Library for automatic interpretable model building (Whitebox AutoML)☆43Updated 4 months ago
- A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision☆245Updated 2 months ago
- Repository to reproduce SketchBoost paper experiments☆23Updated 2 years ago
- LightAutoML on Spark☆37Updated 9 months ago
- Fast and customizable framework for automatic and quick Causal Inference in Python☆118Updated this week
- Tool for whitebox (binning + logreg) model development☆77Updated 3 years ago
- RecSys Library☆69Updated 3 years ago
- A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision☆92Updated 3 years ago
- Experiments on public datasets for pytorch-lifestream library☆21Updated 11 months ago
- Repository of a data modeling and analysis tool based on Bayesian networks☆133Updated last week
- Make GNN easy to start with☆134Updated 5 months ago
- ABacus: fast hypothesis testing and experiment design solution☆48Updated last year
- End2end GPU pipeline for LightAutoML☆16Updated 2 years ago
- Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with…☆157Updated last month
- ☆26Updated 3 years ago
- Simulator for training and evaluation of Recommender Systems☆59Updated 7 months ago
- 2nd place solution for Next Like prediction task☆59Updated 3 years ago
- Russian Medical Questions Dataset (RuMedQ) is a synthetic dataset containing pairs of "symptom" - "medical question regarding this sympto…☆20Updated 3 years ago
- Fast and customizable framework for automatic ML model creation (AutoML)☆1,434Updated last month
- Python framework for automated time series classification, regression and forecasting☆87Updated 2 weeks ago
- Automated modeling and machine learning framework FEDOT☆698Updated this week
- Stalactite is the framework implementing the vertical federated learning paradigm.☆34Updated 2 months ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆310Updated last week
- ☆15Updated 3 years ago
- BERT-based model for Russian language biomedical text mining☆23Updated 2 years ago
- The repository contains examples for the AutoML framework FEDOT☆51Updated 2 months ago
- ☆62Updated 3 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆385Updated 7 months ago
- A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models☆376Updated 2 weeks ago