periakiva Goto Github PK

angel_system

bag-of-words

Bag of Words implementation using SVM and SIFT

cameracalibrationopencv

Using OpenCV

caroccupancyreporter

cnn-nist-dataset

This program built on the VGG practical by Oxford. The data sets are changed as well as the prediction methods for an easier understanding.

conjugate-gradient-method

cprandfist

A HackRU winner project. a user-friendly web-interface robo-adviser for novice traders that want to focus on day and short term trading. Project is using candlestick and moving average algorithms to predict suggestions (buy, sell, hold) for users. Product is also notifying users via SMS when the suggestion is changed; users are able to subscribe…

digitalequalizer

Matlab implementation for a digital equalizer.

eigenfaces

Matlab implementation to face detection using eigenmathods

face-recognition-cnn

Using pre-trained CNN model for facial recognition.

finding_berries

PyTorch implementation of the paper "Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors". Peri Akiva, Kristin Dana, Peter Oudemans, Michael Mars. CVPRW2020.

generate_dots

generating random dots on an image and the option to save it

google-interview-dev-guide-sols

Python solutions to google dev guide solutions

graphdecompose

hangmangame

helloworld

hths

image_cropping_and_stitching

cropping and stitching images

leapmotion-sign-language-interpretor

Rutgers ECE Capstone Project - Spring 2017

locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

matter

Official implementation of Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

medical-partial-body-pose-estimation

medical-pose

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

parallel-cube

Cuda implemendation to cubing every variable in an integer array

parallel-quicksort

Parallel implementation for quicksort using pthreads

periakiva

pymesh

Geometry Processing Library for Python

randcode

robobull

A HackRU winner project. a user-friendly web-interface robo-adviser for novice traders that want to focus on day and short term trading. Project is using candlestick and moving average algorithms to predict suggestions (buy, sell, hold) for users. Product is also notifying users via SMS when the suggestion is changed; users are able to subscribe to multiple stocks in order to get real time suggestions on those chosen stocks. The algorithm is using real time data and provides real time visualization flowing chart for chosen stocks. Used Python, Flask, MongoDB, Node.js.