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 🚀.

• Updated Jun 12, 2026
• Jupyter Notebook

AI-powered algorithmic trading system that combines FinBERT sentiment analysis, spaCy NER, and TimeGPT forecasting to generate BUY/SELL/HOLD signals from real-time financial news.

• Updated Mar 6, 2026
• Jupyter Notebook

TimeGPT is a production-ready generative pretrained transformer for time series. It’s capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code.

• Updated Jul 23, 2024
• Jupyter Notebook

Traffic Congestion Prediction on highways in Taiwan

• Updated Mar 21, 2025
• JavaScript

Analyzing the Unemployment Rate Time Series is vital for economic insights. Techniques like ARIMA capture linear patterns, LSTM handles complex relationships, and Facebook Prophet excels in seasonal forecasting. These methods empower decision-makers to anticipate trends, formulate effective policies, and navigate economic challenges with agility.

• Updated Apr 20, 2024
• Jupyter Notebook

Interface to interact with the TimeGPT API developed by Nixtla <https://nixtla.io/>. TimeGPT is a generative pre-trained transformer model specialized in prediction <https://docs.nixtla.io/docs>.

• Updated Oct 27, 2023
• R

MCP server for multitenant Nixtla TimeGPT forecasting with fine-tuning, rolling backtests, and anomaly detection. HTTP-based JSON-RPC 2.0 API with MongoDB tracking and Vercel deployment.

• Updated Jan 2, 2026
• TypeScript

Simulate and forecast single-neuron dynamics using the Izhikevich model in Python. This project supports multiple neuron types, parameter sweeps, and integrates advanced time series forecasting (TimeGPT and LSTM-based residual correction) for generative modeling of neuronal activity.

• Updated May 11, 2025
• Python

The Ethereum Price Forecasting project leverages the Time GPT Model to predict future price movements of Ethereum. By integrating advanced machine learning algorithms, specifically designed for time series data, the project aims to provide insightful and actionable predictions for traders and investors in the cryptocurrency market.

• Updated May 27, 2024
• Python

Analyze and forecast time series data on the number of visitors to various Italian museums using techniques such as TimeGPT, SARIMAX, Holt-Winters, Lasso, Gradient Boosting, GAM, etc.

• Updated Feb 20, 2024
• Jupyter Notebook

C# SDK for the Nixtla TimeGPT API -- time series forecasting and anomaly detection

• Updated Jun 13, 2026
• C#