AI Agent Skills

Chronos: Pretrained Models for Time Series Forecasting

Time series forecasting with PyTorch

GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and…

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML…

Stanford sky images and PV power generation dataset for solar forecasting related research and applications

Multi-agent probability forecasting with diversity, aggregation, and debate controls. Use when combining several agent forecasts or evaluating forecast ensembles.

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

A python library for user-friendly forecasting and anomaly detection on time series.

Scalable and user friendly neural :brain: forecasting algorithms.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…

NeuralProphet: A simple forecasting package

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud…

Experimental scenario analysis for real-life events forecasting with Codex or Claude

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg