Keras implementation of End to End neural networks developed by Nvidia which powers self driving cars.
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Updated
Mar 12, 2018 - Python
Keras implementation of End to End neural networks developed by Nvidia which powers self driving cars.
Machine Learning Stack for Big Data, Big Cluster and Big Challenges
PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
YARX - Yet Another Relation eXtraction framework, based on SciIE architecture and AllenNLP framework
Finding the google search results which shows conspiracy content - NLP, Webscrapper, Flask app, KNN(From Scratch)
An end-to-end video restoration project with open-source pretrained deep learning models
Jenkins
A Deep Neural Network Plays Crew 2
Most often parents ask others which school is better for their children. So here we are trying to solve this problems of identifying Good schools for parents based on different parameters.
In this project I've worked with the Babi Data Set from Facebook Research to create a chatbot using state of the art end to end neural network which takes a story and Query as input. The Output generated by the bot is either 'Yes' or 'No' based on the query.
Sentiment Analysis WebApp using LSTM, made with ❤️ in PyTorch and deployed on AWS🚀 Do 🌟 the repo and show some love.
Bare minimum End-to-End ML application with Flask REST API Prediction Service
Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP 2020
The repo contains resources from my Masters thesis
End to end used car price prediction.
Real estate price prediction model for presentation
A corpus that can be used to train English-to-Italian End-to-End Speech-to-Text Machine Translation models
This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree. It demonstrates the End-to-End Deployment of a classification model. It contains files and documentations with experiment instructions for replicating the project.
This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.
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