Popular GitHub Repositories for Forecast

RNN based Time-series Anomaly detector model implemented in Pytorch.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Time series based anomaly detector

Time Series Ensemble Forecasting

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models ?

Echo State Networks for Time Series Forecasting

Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).

Simulation for deep reinforcement learning on stochastic time series

Investigation of the capabilities of foundations models in the context of time series forecasting

Parallel LSTM training for sequence prediction from sequential data.

This is a tool to ease the creation, data shaping, training and usage of Long Short Term Memory Neural Networks using Keras and Tensorflow

Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series

Time Series Forecasting of Cryptocurrencies

Also called ハスキー, an experimental hash-powered stock forecaster ?

Forecast of car claim frequency using GLM, boosting and neural networks