Accurately Locate Smartphones using Social Engineering

A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

Multi-class confusion matrix library in Python

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

2D Geometry for Unity. Suited for everyday polygon hassle. Polygon clipping, polygon winding direction, polygon area, polygon centroid, centroid of multiple polygons, line intersection, point-line distance, segment intersection, polygon-point containment, polygon triangulation, polygon Voronoi diagram, polygon offset, polygon outline, polygon buffer, polygon union, polygon substraction, polygon boolean operations, and more. It is a polygon fest.

Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)

A GPS logger for Android mobile devices

Breast Cancer Classification using CNN and transfer learning

math with more good bits

Accurate sums and dot products for Python.

Caffe Squeezenet model for binary classification of pornographic/non-pornographic material

Read the BME680 sensor with the BSEC library on Linux (e.g. Raspberry Pi)

Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).

[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

extended precision math, accurate and performant

This library enables you to use Interrupt from Hardware Timers on an ESP32-based board. It now supports 16 ISR-based timers, while consuming only 1 hardware Timer. Timers' interval is very long (ulong millisecs). The most important feature is they're ISR-based timers. Therefore, their executions are not blocked by bad-behaving functions or tasks. This important feature is absolutely necessary for mission-critical tasks.

🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧

This library enables you to use Interrupt from Hardware Timers on an ESP8266-based board. It now supports 16 ISR-based timers, while consuming only 1 hardware Timer. Timers' interval is very long (ulong millisecs). The most important feature is they're ISR-based timers. Therefore, their executions are not blocked by bad-behaving functions or tasks. This important feature is absolutely necessary for mission-critical tasks.

Genre Classification using Convolutional Neural Networks

Unofficial Pytorch implementation of Deep Compression in CIFAR10

convenient Calculation for String

Software to visualize detectron training stats

High accuracy timing events for SA-MP servers.

YOLT (You Only Look Twice) - a tool that attempts to improve the accuracy of YOLOv4 in images

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

NextGen DebugView++ that is portable and with better visualization of logs

Code for the paper Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars

The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.

It is a Flask Application to predict a person covid positive/negetive based on chest x ray of a person.This Machine Learning Web Application utilizes a Two-Layered Convolutional Neural Network to process the chest-x-ray Images and predict if they are corona positive/negetive accuracy of nearly 81%.