fadelmuli's starred repositories
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
NLP_bahasa_resources
A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia
TTS_TFLite
This repository is a collection of TTS Models in TFLite
Knowledge-Distillation-Toolkit
:no_entry: [DEPRECATED] A knowledge distillation toolkit based on PyTorch and PyTorch Lightning.
SST-EmotionNet
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
Federated-Transfer-Learning-for-EEG
This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
EEG-Emotion-Recognition
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
Signal-feature-extraction_DE-and-PSD
Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.
ConversationQueryRewriter
Code and Data for SIGIR 2020 Paper "Few-Shot Generative Conversational Query Rewriting"
SSVEP-Neural-Generative-Models
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
Live-Video-Streaming-Challenge
ACM MULTIMEDIA 2019 Grand Challenge
EEG_Shape_Reconstruction
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
Custom-Domain-Adaptation
Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition
sigsep-mus-cutlist-generator
Generate 30s previews from SISEC MUS dataset
100-Days-Of-ML-Code
100 Days of ML Coding
covid-faq-bert
COVID-19 FAQ Retrieval System with BERT