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awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

cene

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.

cognitive-services-android-customvision-sample

Sample Anroid app for image classification using a TensorFlow model exported from Microsoft Cognitive Services Custom Vision

credit_card_fraud

decision_tree

Decision Tree Program

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

film_review_predictor

A Film Review Predictor based on Sentiment Analysis by text classification using Deep CNN

finding-donors-for-charity-ml

Introduction to Machine Learning Nanodegree

first-fast-page

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

getmein-web

Portal to get an invite to IIITV GitHub organization

hateraid

Imagine Cup 2022

house_price_prediction

Predicting house prices using Linear Regression and GBR.

html-minifier

Javascript-based HTML compressor/minifier (with Node.js support)

intro-computervision

Notebooks for learning about the layers of a convolutional neural network.

jmeter-aci-terraform

Scalable cloud load/stress testing pipeline solution with Apache JMeter and Terraform to dynamically provision and destroy the required infrastructure on Azure.

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

logistic_regression

Bank Marketing Data

machine-learning

Machine Learning Algorithms

machine_learning

ML algorithm and notes

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mlnd

Successfully Completed Udacity Machine Learning Nanodegree

mod-3-project-group-3-chi-sea-ds

movie_analytics_recommendations

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

ms-identity-javascript-angular-spa-dotnetcore-webapi-roles-groups

Angular Single-Page Application (SPA) calling .NET Core Web API using App Roles and Security Groups for Implementing Role-Based Access Control (RBAC)

plagiarism-detection-udacity

Plagiarism Detector using AWS SageMaker.

rate_5_get_5_rec_system

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

Sentiment Analysis

shivamtawari

simple_logistic_regression

Simple Logistic Regression