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adress-challenge2020

Alzheimer's Dementia Recognition through Spontaneous Speech

alzheimers-dementia

Alzheimer's dementia classification and MMSE score regression

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

bert_for_long_text

Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/

bert_for_longer_texts

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

beto

Un analisis de sentimientos usando twitter en las elecciones departamentales uruguayas de 2020

brain-tumor-classification

The proposed classification system adopts the concept of deep transfer learning and uses a pre-trained GoogLeNet to extract features from brain MRI images.

eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

flowerrecognitionusingtransferlearning

In this Assignment, I Trained the Custom CNN Model & also checked the performance of some pre-trained Models named as GoogleNet, ResNet-101, DenseNet-161 on Flowers Dataset using the concept of Transfer Learning.

gumpy

A Python 3 toolbox to develop Brain-Computer Interfaces (BCI)

gumpy-deeplearning

Deep Learning Models for Brain Computer Interfaces

hugging-face-101-es

Ejercicios para aprender a hacer NLP impulsado por las librerías de Hugging Face.

hunspeech

iv-2a

joint-disfluency-detector-and-parser

Improving Disfluency Detection by Self-Training a Self-Attentive Model

ml-based-analysis-to-identify-speech-features-relevant-in-predicting-alzheimer-s

ML and DL based models that predict (and classify) whether a person has Alzheimer's Disease or not by analyzing his/her speech.

phoneseg

Phoneme Segmentation

sklearn-audio-transfer-learning

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

speaker-diarization-with-snn

Two implementations of speaker-diarization task with SNN, SincNet and Wav2Vec.

speech-emotion-analyzer

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

whisperx

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)