Mohamed Nabih (mnabihali)

mnabihali

Geek Repo

Company:Foundation Bruno Kessler

Location:Trento, Italy

Twitter:@Mo_Nabihovich

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Mohamed Nabih's repositories

CausalityCheck

Causality Check in Frame-online Speech Separation

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Enhancing-Embeddings

This is the official implementation of our paper "ENHANCING PRE-TRAINED SPEECH EMBEDDINGS FOR SPEECH RECOGNITION IN NOISY CONDITIONS".

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

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Algo-Python

All Algorithms implemented in Python

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audio-and-speech-tech-2022

Audio and Speech Technologies Workshop 2022, code examples

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audio-speech-denoising

About Implementation and training of a deep neural network for speech denoising tasks.

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audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

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Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

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CleanUNet

Official PyTorch Implementation of CleanUNet (ICASSP 2022)

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end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch

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evaluate

A library for easily evaluating machine learning models and datasets.

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flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

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flopth

A simple program to calculate the FLOPs of Pytorch models, multiple inputs supported, with cli tool and Python APIs.

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fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

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LibriMix

An open source dataset for source separation

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mayavoz

Pytorch based speech enhancement toolkit.

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pb_bss

Collection of EM algorithms for blind source separation of audio signals

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

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Speech-Command-Classification

Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpectogram features.

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torchstat

Model analyzer in PyTorch

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transformer

PyTorch Implementation of "Attention Is All You Need"

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TRUNet

unofficial PyTorch implementation of 《REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET》

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Wav2Keyword

Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.

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