mouadriyad
PhD Student From Morocco, Working on BCI based on Deep Learning NN. Fan of manga and good music.
mouadriyad's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
davatorium/rofi
Rofi: A window switcher, application launcher and dmenu replacement
state-spaces/mamba
Mamba SSM architecture
BlinkDL/RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Aylur/dotfiles
My personal config files
Axarva/dotfiles-2.0
XMonad™️. Widgets go brr.
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
JaKooLit/Fedora-Hyprland
For automated installation of Hyprland on Fedora 38, 39 & 40 or any Fedora based distros
linkfrg/dotfiles
My Hyprland dotfiles
huchenlei/ComfyUI-IC-Light-Native
ComfyUI native implementation of IC-Light
cloneofsimo/d3pm
Minimal Implementation of a D3PM in pytorch
tsy935/eeg-gnn-ssl
gibranfp/P300-CNNT
1D Convolutional Neural Networks for P300 detection from EEG signals
tiehangd/MUPS-EEG
Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
yaoshanliang/XJTLU-Beamer-Template
Latex template for presentations
exporl/auditory-eeg-challenge-2024-code
luistar/unina-beamer
A modern beamer theme for people at the University of Naples "Federico II" (UniNA)
pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification
julian-8897/Conv-VAE-PyTorch
Variational Autoencoder (VAE) in PyTorch
sabinechen/SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning
brainhack-school2020/BHS-AuditoryMultimodal
Combine fMRI/EEG to learn about music/auditory processing
Nikeshbajaj/phyaat
PhyAAt: Physiology of Auditory Attention - Processing Library
surabhisnath/BCI-P300-Speller
MIC-Laboratory/CNN-HD-sEMG-Classifier
This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition is based on high-density surface electromyography (HD-sEMG) signals from two datasets: CSL HD-sEMG and ICE Lab HD-sEMG.
hubertrybka/vae-annealing
A simple pytorch implementation for calculating VAE loss components and annealing KLD loss while training VAEs, especially RNN-based
BruntonUWBio/cross-modal-ssl-htnet
LiuyinYang1101/Sea-Wave
Official Implementation of ICASSP 2023 EEG-Auditory Challenge Regression Task: Sea-Wave
mineysm/ErrP_APP
Single trial detection of error-related potentials
evwlu/eeg-denoiser
An investigation of different architectures and their effectiveness with feature extraction with noisy EEG data.
mohamedramadan14/store-microservices
This is simple backend for online store application written in Spring boot , Kafka as messaging broker , dockerized and monitoring and observability using Prometheus and Grafana