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NeuroLex's Projects

allie-1 icon allie-1

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

audioset_models icon audioset_models

📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).

demo-elastic icon demo-elastic

This is the demo project to show how we can use Elasticsearch / Kibana as a dashboard for our data scientists

fdns-ms-combiner icon fdns-ms-combiner

This is the repository with the Combiner service to combine JSON files into a single CSV or XLSX file.

fdns-ms-indexing icon fdns-ms-indexing

This is the repository with the Indexing layer for the Data Lake. This is the navigation layer.

fdns-ms-msft-utils icon fdns-ms-msft-utils

This is the repository with the Microsoft Utilities microservice for parsing Microsoft formatted documents.

fdns-ms-object icon fdns-ms-object

This is the repository with the Object layer for the Data Lake. This is the mutable layer.

fdns-ms-storage icon fdns-ms-storage

This is the repository with the Storage layer for the Data Lake. This is the immutable layer.

nala icon nala

🦁 Nala is an agile open-source voice assistant framework (20+ actions).

train-accent icon train-accent

Github repo for training accents using the Common Voice dataset.

train-age icon train-age

Repository for training age detection models using the Common Voice dataset.

train-asr icon train-asr

Repository to train voice models with new speech recognition models using KALDI.

train-diseases icon train-diseases

this repository is for training models related to disease prediction.

train-emotions icon train-emotions

😃 Repo for emotion dataset training using custom datasets engineered by our lab.

vibe icon vibe

👀 An all-purpose eye tracking web application and API for Alzheimer's disease research.

voice_datasets icon voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (40+ datasets).

voicebook icon voicebook

🗣️ A book and repo to get you started programming voice computing applications in Python - 10 chapters and 200+ scripts.

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