Ammade47

Ammade47's Stars

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.2k1091993k

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k695516

• DirtyHarryLYL/Transformer-in-Vision

  Recent Transformer-based CV and related works.

  1.3k875141

• marcogdepinto/emotion-classification-from-audio-files

  Understanding emotions from audio files using neural networks and multiple datasets.

  Language:Python4041317133

• Demfier/multimodal-speech-emotion-recognition

  Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

  Language:Jupyter Notebook396113485

• Spijkervet/CLMR

  Official PyTorch implementation of Contrastive Learning of Musical Representations

  Language:Python30582148

• IliaZenkov/transformer-cnn-emotion-recognition

  Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

  Language:Jupyter Notebook2238642

• IbrahimSobh/Transformers

  Transformers and related deep network architectures are summarized and implemented here.

  Language:Jupyter Notebook2125027

• Data-Science-kosta/Speech-Emotion-Classification-with-PyTorch

  This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

  Language:Jupyter Notebook1877735

• aris-ai/Audio-and-text-based-emotion-recognition

  A multimodal approach on emotion recognition using audio and text.

  Language:Jupyter Notebook1534829

• Vincent-ZHQ/CA-MSER

  Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information

  Language:Python12121914

• abhay8463/Speech-Emotion-Recognition-using-ML-and-DL

  Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.

  Language:Jupyter Notebook883144

• cnielly/prototypical-networks-omniglot

  An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch

  Language:Jupyter Notebook544215

• lixiangucas01/GLAM

  This is the official code for paper "Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation" published in ICASSP 2022

  Language:Python41348

• 30stomercury/Interaction-Aware-Attention-Network

  [ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs

  Language:Python35189

• trexwithoutt/Speech-Emotion-Recognition-utterancelevel-DNN

  Inspired work by the project of SER using ELM at Microsoft Research

  Language:Jupyter Notebook19304

• ahmadchalhoub/research_implementations

  Language:Jupyter Notebook17123

• terranivium/speech-emotion-recognition

  Speech emotion recognition with PyTorch

  Language:Jupyter Notebook6302

• ajayarunachalam/vision-transformer-demo

  Designing, Implementing & Deploying Transformer Deep Learning Network Architecture for computer vision tasks

  Language:Jupyter Notebook5102

• mouniraziz/MsKPRN

  The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning

  Language:Python5200

• HUBBS-Lab/pytorch-MeL_S_ASPF

  Language:Jupyter Notebook301

• ayoubelaamri/Speech_Emotion_Recognition

  Web app to detect emotion from speech using a 67% accuracy model built with 2D ConvNets trained on RAVDESS & SAVEE datasets

  Language:Jupyter Notebook1100

• FriedaSmith/speech-emotion-recognition-iemocap

  Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as input data to ML/DL models

  Language:Jupyter Notebook1000