graphcast

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

PixArt-sigma

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

scalecast

The practitioner's forecasting library

PixArt-alpha

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

icenet-paper

Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learn...

pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...

darts

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

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models un...

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

skforecast

Time series forecasting with scikit-learn models

Pangu-Weather

An official implementation of Pangu-Weather

Time-Series-Library

A Library for Advanced Deep Time Series Models.

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vi...

BSMS-GNN