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Khaled Zaouk's Projects

98 icon 98

πŸ’Ώ Web-based Windows 98 desktop recreation β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–ˆβ–“β–“β–’β–“β–’β–’β–‘β–’β–‘β–‘β–‘πŸ—•οΈŽπŸ——οΈŽπŸ—™οΈŽ

alibi icon alibi

Algorithms for monitoring and explaining machine learning models

alibi-detect icon alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

dover-lap icon dover-lap

Python package for combining diarization system outputs.

eend icon eend

End-to-End Neural Diarization

eend-vector-clustering icon eend-vector-clustering

This repository contains a set of codes to run (i.e., train, perform inference with, evaluate) a diarization method called EEND-vector-clustering.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

g2p icon g2p

g2p: English Grapheme To Phoneme Conversion

gpflow icon gpflow

Gaussian processes in TensorFlow

jspaint icon jspaint

🎨 Classic MS Paint, οΌ²οΌ₯οΌΆοΌ©οΌΆοΌ₯οΌ€ + ✨Extras

kaldi icon kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

noisetorch icon noisetorch

Real-time microphone noise suppression on Linux.

proteno icon proteno

This repository contains data used in the NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems (https://arxiv.org/abs/2104.07777)

pyannote-audio icon pyannote-audio

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

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

s3prl icon s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

silero-models icon silero-models

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

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