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aieeg

using unet to reconstruct signal

contrastive-lvm

Code for running and analyzing contrastive latent variable models

dall-e

PyTorch package for the discrete VAE used for DALL·E.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

devil

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

e2fgvi

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

ensemble-of-dnns

Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'

fapem

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

mind-vis

Code base for MinD-Vis

mmvid

[CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

neural-tangents

Fast and Easy Infinite Neural Networks in Python

pyfm

Factorization machines in python

repaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

self-attention-with-recurrence

ssvep-oacca

The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)

stable-diffusion

A latent text-to-image diffusion model

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai