Pinned Repositories
ArtBot-Twitter
Art bot (@UneNuitEtoilee) that tweets paintings each 4 hours with Tweepy and the Twitter API
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
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.
FasterR-CNNVehicleDetection
Deep Learning student project on vehicle detection
tumblr-boilerplate
:zap: A true bare bones Tumblr theme for a quick jump-start
twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
youtube-downloader-converter
A simple Python script that is able to download YouTube videos or playlists and convert them into MP3.
paulmrq's Repositories
paulmrq/ArtBot-Twitter
Art bot (@UneNuitEtoilee) that tweets paintings each 4 hours with Tweepy and the Twitter API
paulmrq/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
paulmrq/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.
paulmrq/FasterR-CNNVehicleDetection
Deep Learning student project on vehicle detection
paulmrq/tumblr-boilerplate
:zap: A true bare bones Tumblr theme for a quick jump-start
paulmrq/twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
paulmrq/youtube-downloader-converter
A simple Python script that is able to download YouTube videos or playlists and convert them into MP3.