Machine-Translation-based sentence alignment tool for parallel text

Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

An efficient video loader for deep learning with smart shuffling that's super easy to digest

This repo is for the Linkedin Learning course: Transformers: Text Classification for NLP using BERT

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

📺 Discover the latest machine learning / AI courses on YouTube.

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

End-to-End Neural Diarization

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Neural Networks and Deep Learning, NUS CS5242, 2021

Extracts Transcript and Summary (Abstractive and Extractive) from the AMI Meeting Corpus

Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.

LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a ve…

Russian GPT3 models.

This is some tutorial to get you started with Azure ML Service

Catalog of abusive language data (PLoS 2020)

A free and open source chess improvement app that combines the power of Lichess and Anki.

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multi…

Synthetic data generation for tabular data

The PyTorch-based audio source separation toolkit for researchers

PyTorch tutorials and best practices.

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Machine Translation (MT) Preparation Scripts