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Udemy's Deep Learning Course from Kirill Eremenko

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Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

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Cheat Sheets

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tensorflowGlow

wiii3

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Image augmentation for machine learning experiments.

Face recognition using Tensorflow

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Machine learning algorithms

Algorithms

Open Source Computer Vision Library

Papers with code. Sorted by stars. Updated weekly.