The platform for customizing AI from enterprise data
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Updated
Jun 12, 2024 - Python
The platform for customizing AI from enterprise data
A unified framework for machine learning with time series
scores: metrics for the verification, evaluation and optimisation of forecasts, predictions or models
📦🐍 Python package to model and forecast the risk of deforestation
We are presenting a Bayesian local-level model and its extensions
Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
The new version of the INAMHI GEOGLOWS portal, developed using Angular, Django, and Docker for enhanced scalability and performance.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Julia Package with SARIMA model implementation using JuMP.
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Collect solar forecast data from https://forecast.solar and push it to InfluxDB
Probabilistic time series modeling in Python
Regression model building and forecasting in R
Fast and Accurate ML in 3 Lines of Code
Scalable and user friendly neural 🧠 forecasting algorithms.
Scalable machine 🤖 learning for time series forecasting.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
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