Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
MIT License
Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
List of papers, code and experiments using deep learning for time series forecasting
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
DALL·E Mini - Generate images from a text prompt
Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and...
Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learn...
Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Py...
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks...
Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
GraphCast: Learning skillful medium-range global weather forecasting.
A Library for Advanced Deep Time Series Models.
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...