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aau_net-main

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

bravl_fork

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

eeg-conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

eeg_encoding

Using DNNs to build encoding models of EEG visual responses.

eeg_image_decode

Using vision-language models to decode natural image perception from non-invasive brain recordings.

eegraph

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

emotion_neurophysio_is-rsa

Scripts for the emotion EEG, ECG, sociability ISRSA analysis

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

imagery-master

Notebooks and code relating to "Generative feedback explains distinct brain activity codes for seen and mental images"

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmd-variational-autoencoder

mmvae

Multimodal Mixture-of-Experts VAE

nice-eeg

[ICLR 2024] EEG-based image decoding. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.

pytorch-practice

Some example scripts on pytorch

rgcnn-pyg

Examples of the use of PYG

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch