TranslatedA Simple and Universal Swarm Intelligence Engine, Predicting Anything.
- agent-memory
- financial-forecasting
- future-prediction
- knowledge-graph
47,133 repositories indexed
1–16 of 16 · Most stars
TranslatedA Simple and Universal Swarm Intelligence Engine, Predicting Anything.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Statsmodels: statistical modeling and econometrics in Python
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable and user friendly neural :brain: forecasting algorithms.
The machine learning toolkit for time series analysis in Python
A flexible, intuitive and fast forecasting library
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable machine 🤖 learning for time series forecasting.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Forecast what will happen, including outcomes of your decisions.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.