fadelmuli

fadelmuli

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Language:PythonLicense:MITStargazers:29847Issues:424Issues:4170

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Language:PythonLicense:MITStargazers:13108Issues:341Issues:336

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Language:PythonLicense:Apache-2.0Stargazers:10984Issues:200Issues:2157

TTS

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Language:Jupyter NotebookLicense:MPL-2.0Stargazers:9055Issues:186Issues:559

espnet

End-to-End Speech Processing Toolkit

Language:PythonLicense:Apache-2.0Stargazers:8143Issues:179Issues:2332

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3517Issues:43Issues:328

DialoGPT

Large-scale pretraining for dialogue

Language:PythonLicense:MITStargazers:2337Issues:55Issues:84

PyTorchNLPBook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1967Issues:54Issues:33

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Language:Jupyter NotebookLicense:MITStargazers:1402Issues:79Issues:5

NLP_bahasa_resources

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

course-v4

Please use fastbook's /clean folder instead of this

TTS_TFLite

This repository is a collection of TTS Models in TFLite

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:186Issues:16Issues:12

RGNN

The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"

Language:PythonStargazers:166Issues:6Issues:0

Knowledge-Distillation-Toolkit

:no_entry: [DEPRECATED] A knowledge distillation toolkit based on PyTorch and PyTorch Lightning.

Language:PythonLicense:Apache-2.0Stargazers:136Issues:14Issues:7

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

Language:Jupyter NotebookStargazers:80Issues:4Issues:2

MS-MDA

Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

Language:Jupyter NotebookLicense:MITStargazers:80Issues:4Issues:12

Signal-feature-extraction_DE-and-PSD

Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.

Language:PythonStargazers:67Issues:0Issues:1

ConversationQueryRewriter

Code and Data for SIGIR 2020 Paper "Few-Shot Generative Conversational Query Rewriting"

Language:RoffLicense:MITStargazers:63Issues:7Issues:0

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

JDA

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity

EEG_Shape_Reconstruction

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.

Language:PythonLicense:MITStargazers:20Issues:4Issues:0

Custom-Domain-Adaptation

Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition

Language:PythonStargazers:13Issues:1Issues:0

Chapter3

Chapter 3: Text and Speech Basics

Language:Jupyter NotebookStargazers:12Issues:3Issues:0

sigsep-mus-cutlist-generator

Generate 30s previews from SISEC MUS dataset

Language:PythonLicense:MITStargazers:5Issues:3Issues:10

100-Days-Of-ML-Code

100 Days of ML Coding

Language:PythonLicense:MITStargazers:2Issues:0Issues:0

covid-faq-bert

COVID-19 FAQ Retrieval System with BERT

Language:Jupyter NotebookStargazers:1Issues:1Issues:0