mshenron
Proficient in the real-world application of machine learning and deep learning algorithms
Gurgaon, India
Pinned Repositories
deepspeech.pytorch
Speech Recognition using DeepSpeech2.
Deployment-Demo
Flask Api deployment on Heroku
FairyOnIce.github.io
Leap
This repository contains algorithms executed with resources from D-Wave's Quantum Computer.
minimal
Minimal is a Jekyll theme for GitHub Pages
nlp-recipes
Natural Language Processing Best Practices & Examples
quantum-sociology
A repository for code exploring the use of quantum computing, on the D-Wave 2X, in social network analysis.
SpeakerVerification-TF
Speaker Embedding for verification / identification task using Tensorflow
TF-GAN
Tensorflow implementation of Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN)
TwitterSentimentAnalyzer
Falcon based API interface for sentiment analysis over twitter data
mshenron's Repositories
mshenron/TF-GAN
Tensorflow implementation of Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN)
mshenron/TwitterSentimentAnalyzer
Falcon based API interface for sentiment analysis over twitter data
mshenron/Deployment-Demo
Flask Api deployment on Heroku
mshenron/SpeakerVerification-TF
Speaker Embedding for verification / identification task using Tensorflow
mshenron/deepspeech.pytorch
Speech Recognition using DeepSpeech2.
mshenron/FairyOnIce.github.io
mshenron/Leap
This repository contains algorithms executed with resources from D-Wave's Quantum Computer.
mshenron/minimal
Minimal is a Jekyll theme for GitHub Pages
mshenron/nlp-recipes
Natural Language Processing Best Practices & Examples
mshenron/quantum-sociology
A repository for code exploring the use of quantum computing, on the D-Wave 2X, in social network analysis.
mshenron/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
mshenron/TF-MangaColorization
Tensorflow implementation of Manga colorization model
mshenron/XuniVerse
xverse (XuniVerse) is collection of transformers for feature engineering and feature selection