Kavitha Chetana Didugu's Projects
Create and modify Word documents with Python
Files for Udemy Course on Algorithms and Data Structures
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
Makes Interactive Chart Widget, Cleans raw data, Runs baseline models
Online E-commerce websites like Amazon, Flipkart uses different recommendation models to provide different suggestions to different users. Amazon currently uses item-to-item collaborative filtering, which scales to massive data sets and produces high-quality recommendations in real-time. Objective: Build a recommendation system to recommend products to customers based on their previous ratings for other products.
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
Creating a Restaurant Rating Suggestor based on the review text entered by the customer
🌊 Online machine learning in Python
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Using Bidirectional LSTMs to detect the sarcastic headlines from scraped data from two online newspapers
Sentence Embeddings with BERT & XLNet
A general-purpose encoder-decoder framework for Tensorflow
The project contains tutorials and resources for the sequence to sql technieques.
A game theoretic approach to explain the output of any machine learning model.
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Simple Software Engineering techniques for Python developers
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
A fully customisable language detection pipeline for spaCy
Scripts used to setup a Spark cluster on EC2
Trying to Predict Popularity of Spotify Tracks using their features (Comparison of Ensembles Methods and Neural Networks)
Neural Network for generating structured queries from natural language.
Single Shot MultiBox Detector in TensorFlow
Joe Garcia WebDev Starter Kit