An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
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Updated
Jul 4, 2024 - Python
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
📘 The MLOps stack component for experiment tracking
Scalable machine 🤖 learning for time series forecasting.
PIP package for easy abstract creation of ML models for classification or regression.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Scalable Python DS & ML, in an API compatible & lightning fast way.
🏆1st solution in web ad CTR predict competition🏆
A full pipeline AutoML tool for tabular data
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
Amazon SageMaker Local Mode Examples
TSForecasting: Automated Time Series Forecasting Framework
An extension of LightGBM to probabilistic modelling
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
gradient-boosted regression and decision tree models on behavioural animal data
All Relevant Feature Selection
Simple and efficient tools for data science.
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
Almost and AutoML around xgb, catboost and lightgbm
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