rdmn's repositories
Competitive-Programming
Algorithms
cpp-cheat-sheet
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
Data-Science--Cheat-Sheet
Cheat Sheets
DeepLearning.ai-Summary
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.
denoiser
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.
facenet
Face recognition using Tensorflow
imgaug
Image augmentation for machine learning experiments.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Machine-Learning
Machine learning algorithms
opencv
Open Source Computer Vision Library
pwc
Papers with code. Sorted by stars. Updated weekly.
Tensorflow
tensorflowGlow
udemy-deep-learning-a-z
Udemy's Deep Learning Course from Kirill Eremenko