A toolkit for machine learning from time series
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Updated
Jun 10, 2024 - Python
A toolkit for machine learning from time series
A unified framework for machine learning with time series
This repository contains the development of a predictive AI tool aimed at forecasting crowds based on various data streams such as access tag check-ins, Wi-Fi usage, venue sales data, and reservations.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
Julia Package with SARIMA model implementation using JuMP.
Resources about time series forecasting and deep learning.
Web de divulgación con material formativo sobre estadística, algoritmos de machine learning, ciencia de datos y programación en R y Python.
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 🚀.
The platform for customizing AI from enterprise data
Regression model building and forecasting in R
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Course on nowcasting and forecasting of infectious disease dynamcis
Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
AirBorne a complete algorithmic trading framework in Julia.
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
A python library for user-friendly forecasting and anomaly detection on time series.
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