Shivam Tawari's Projects
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
Cene is an image classification application that aims to classify images of 6 landscapes into corresponding albums. The landscapes this app is capable of classifying are buildings, forests, glaciers, mountains, seas and streets.
Sample Anroid app for image classification using a TensorFlow model exported from Microsoft Cognitive Services Custom Vision
Decision Tree Program
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
A Film Review Predictor based on Sentiment Analysis by text classification using Deep CNN
Introduction to Machine Learning Nanodegree
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
Portal to get an invite to IIITV GitHub organization
Imagine Cup 2022
Predicting house prices using Linear Regression and GBR.
Javascript-based HTML compressor/minifier (with Node.js support)
Notebooks for learning about the layers of a convolutional neural network.
Scalable cloud load/stress testing pipeline solution with Apache JMeter and Terraform to dynamically provision and destroy the required infrastructure on Azure.
A PyTorch Library for Accelerating 3D Deep Learning Research
Bank Marketing Data
Machine Learning Algorithms
ML algorithm and notes
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Successfully Completed Udacity Machine Learning Nanodegree
Analytics of Movielens dataset (100k) along with recomendation based on the user preference EDA of the dataset along with basic visualization using plot function of pandas has been used. Consists of analysis of movielens dataset (100k) along with recomendation based on it using python. Movielens(100k) dataset consists of 100,000 ratings for movies from 943 users on 1682 movies The link to this dataset https://grouplens.org/datasets/movielens/100k/ The recomendation takes user's choices and creates a matrix and gives recomendation
Angular Single-Page Application (SPA) calling .NET Core Web API using App Roles and Security Groups for Implementing Role-Based Access Control (RBAC)
Plagiarism Detector using AWS SageMaker.
We aim to create a recommendation system based on the MovieLens dataset from the GroupLens research lab at the University of Minnesota. Furthermore, we would like to deploy a web app that will alloy a user to enter some ratings for movies that they have seen, and then, based on the model we have implemented, it will reccomend movies that align with their interests.
Sentiment Analysis