GAN-RNN_Timeseries-imputation

Megatron-LM

Ongoing research training transformer models at scale

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in ...

Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Lar...

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

cor-gan

COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare ...

eg3d

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...

Time-Series-Library

A Library for Advanced Deep Time Series Models.

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

deep-learning-time-series

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

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

stylegan3

Official PyTorch implementation of StyleGAN3

gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research ...

hyperimpute

A framework for prototyping and benchmarking imputation methods