Stars
Diarizing Legal Proceedings with d-vectors.
Python code for producing emotionality scores from Gennaro and Ash (2021).
Command-line program to download videos from YouTube.com and other video sites
A library for soundscape synthesis and augmentation
Research project to diarize and transcribe legal speech in U.S. Ninth Circuit Court (ca9) proceedings using model trained on U.S. Supreme Court audio files. This repo is part of Research done at NY…
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
Fine-tune transformers with pytorch-lightning
StereoSet: Measuring stereotypical bias in pretrained language models
Lightweight Python library for in-memory matrix completion.
Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
Implementation of Robust Principal Component Analysis (RPCA) on Steam Video Games dataset
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
DS-GA 1013 Mathematical Tools for Data Science
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Build and run Docker containers leveraging NVIDIA GPUs
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
ELSA combines extractive and abstractive approaches to the automatic text summarization
cat🐈: the repo for the paper "Embarrassingly Simple Unsupervised Aspect extraction"
Hidden Markov Models in Python, with scikit-learn like API
A python package to analyze and compare voices with deep learning
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.