Scalable machine 🤖 learning for time series forecasting.
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Updated
Jun 11, 2024 - Python
Scalable machine 🤖 learning for time series forecasting.
Simple and Distributed Machine Learning
Time series forecasting with machine learning models
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
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An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
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Scalable Python DS & ML, in an API compatible & lightning fast way.
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Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
TSForecasting: Automated Time Series Forecasting Framework
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Recommender system using XGBOOST, Neural_Network, Ensemble and LGBM
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