Stars
Fast and customizable framework for automatic ML model creation (AutoML)
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
[AutoML Grand Prix] "LightAutoML testers" team solution for TPS July 2024
Fast and customizable framework for automatic and quick Causal Inference in Python
Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.
ESGify is a model for multilabel news classification with respect to ESG risks.
LightAutoML (LAMA) course tutorials
Simulator for training and evaluation of Recommender Systems
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
Russian Medical Questions Dataset (RuMedQ) is a synthetic dataset containing pairs of "symptom" - "medical question regarding this symptom", as well as a label, if the question generated by RuGPT3 …
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
Library for automatic interpretable model building (Whitebox AutoML)
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
LAMA - automatic model creation framework
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product …
My solution of RAIFHACK competition
Materials for LightAutoML workshop (DataFest 2021)