shubhangikishore Goto Github PK

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action-recognition-ucf-101

Action Recognition from Video DataSet using Recurrent Neural Networks (LSTM) using Pytorch

bedrock

Making mozilla.org awesome, one pebble at a time

cadasta-platform

Main repository of the Cadasta platform. Technology to help communities document their land rights around the world.

citrine

Freight Management System

cloudbreak

A tool for provisioning and managing Apache Hadoop clusters in the cloud. Cloudbreak, as part of the Hortonworks Data Platform, makes it easy to provision, configure and elastically grow HDP clusters on cloud infrastructure. Cloudbreak can be used to provision Hadoop across cloud infrastructure providers including AWS, Azure, GCP and OpenStack.

coala

coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

coala-bears

Bears for coala

covid19_nj_impactanalysis

csd-402-course-work

Course Work for CSD 402: Internet and Web Systems at SNU

dashboard

General-purpose web UI for Kubernetes clusters

deep-learning-for-time-series-data-

Train and test a deep learning model for predicting the exchange rate

deep-regex

Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

djangotweepy

An example Django project using Tweepy to authorise with Twitter via OAuth

dnn-for-image-classification-

Using Transfer Learning Techniques for retraining Model in Tensor Flow

facebook-birthday-response

Python script that automatically thanks all users and like their birthday wishes on your timeline

flask

WebD using Flask framework

frptutorial

genericcatalogapp

gentelella

Free Bootstrap 3 Admin Template

grasp

greensense

Arduino project for automated maintenance of a garden.

ieee-fraud-detection

description Kaggle Challenge based on Vesta's real-world e-commerce transactions containing a wide range of features from device type to product features, performed exploratory data analysis and developed scripts for XGBoost classifier to predict fraudulent transactions, achieved an accuracy of 90%.

image-filtering

Noise removal (Gaussian and Median filter), edge detection, thresholding and histogram equalization in images

image-stitching

Creating Panoramas using Sift Features

innovacer

master

medinnovate