Naman Sharma (naman8827)

naman8827

Geek Repo

Github PK Tool:Github PK Tool

Naman Sharma's repositories

Abstractive-Summarization

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:JavaStargazers:0Issues:0Issues:0
Language:JavaStargazers:0Issues:0Issues:0

Ecommerce-Firebase-app

It is an ecommerce app made in for retail shops and their surrounding customers. After this app no one will hear like "sorry mam/sir, product is not available". In the backend it will get from more far store. This will give business to smaller business owner rather then ecommer like amazon and flipkart. This idea was brainstormed by me and with the help of my two team members we made this project. Technologies used in this project are android with java and database in firebase which is own by google.

Language:JavaStargazers:0Issues:0Issues:0

fastText

Library for fast text representation and classification.

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

License:GPL-3.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

react-complete-guide-code

Code snapshots and materials for our "React - The Complete Guide" course (https://acad.link/reactjs)

Stargazers:0Issues:0Issues:0

Recurrent-Neural-Networks-with-Python-Quick-Start-Guide

Recurrent Neural Networks with Python Quick Start Guide, published by Packt

License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

textrank

TextRank implementation for Python 3.

License:MITStargazers:0Issues:0Issues:0

time-series-tf-serving

Seq2seq Model on Time-series Data: Training and Serving with TensorFlow

License:Apache-2.0Stargazers:0Issues:0Issues:0