GitHub Trending repo Repositories Jun 27

FareedKhan-dev/timesfm-from-scratch: From-scratch reimplementation of Google TimesFM (time-series foundation model) plus the full pretraining pipeline Google never open-sourced. Trained and honestly evaluated at 70M.

by FareedKhan-dev

From-scratch reimplementation of Google TimesFM (time-series foundation model) plus the full pretraining pipeline Google never open-sourced. Trained and honestly evaluated at 70M.

Read Original
Google LLM

Metadata

Stars
7
Language
Python
Watchers
7
License
NOASSERTION

Related

GitHub Trending repo 1h ago

abdulkashim444-lgtm/Alpha-Foundry: Alpha Foundry is an AI-powered stock ranking and propensity modeling platform that leverages machine learning, learning-to-rank algorithms, and predictive analytics to identify high-potential equities, generate investment insights, optimize portfolio decisions, and support explainable, data-driven quantitative investing.

Alpha Foundry is an AI-powered stock ranking and propensity modeling platform that leverages machine learning, learning-to-rank algorithms, and predictive analytics to identify hig...

41
GitHub Trending repo 1h ago

abdulkashim444-lgtm/Market-Anomaly-Detector: 📈 Market Anomaly Detector is an AI-powered financial surveillance platform that detects unusual market behavior using machine learning, real-time analytics, anomaly detection models, interactive dashboards, automated alerts, and explainable insights for smarter trading and risk management.

📈 Market Anomaly Detector is an AI-powered financial surveillance platform that detects unusual market behavior using machine learning, real-time analytics, anomaly detection model...

42
GitHub Trending repo 9h ago

ramyadharshinimurugaprakash-commits/Titanic-Survival-Prediction-Random-Forest: A machine learning project that predicts passenger survival on the Titanic using the Random Forest Classifier. The project includes data preprocessing, label encoding, feature scaling, model training, prediction, and performance evaluation using Python and Scikit-learn.

A machine learning project that predicts passenger survival on the Titanic using the Random Forest Classifier. The project includes data preprocessing, label encoding, feature scal...

39