There are 4 repositories under accuracy topic.
Accurately Locate Smartphones using Social Engineering
Multi-class confusion matrix library in Python
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
A GPS logger for Android mobile devices
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.
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
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.
This package makes it easy for an React Native App to ensure that the Android device's system settings are properly configured for the app's location needs. If your app needs to request location, the device needs to enable the appropriate system settings, such as GPS or Wi-Fi scanning. Rather than directly enabling services such as the device's GPS, your app specifies the required level of accuracy/power consumption, and the device automatically makes the appropriate changes to system settings.
math with more good bits
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
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.
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
This library enables you to use Interrupt from Hardware Timers on an Arduino, such as Nano, UNO, Mega, etc. 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.
Read the BME680 sensor with the BSEC library on Linux (e.g. Raspberry Pi)
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
extended precision math, accurate and performant
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
Caffe Squeezenet model for binary classification of pornographic/non-pornographic material
A simple Windows command line utility to accurately set the relative position of displays in a dual- or multi-monitor setup.
This project is for the Identification of Iris flower species is presented
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).
🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧
A Software Oscilloscope and portable set of data collection and visualization tools
Dialog Skill Analysis framework for Watson Assistant
This library enables you to use Interrupt from Hardware Timers on supported Arduino boards such as AVR, ESP8266, ESP32, SAMD, SAM DUE, nRF52, Teensy, etc. These Hardware Timers, using Interrupt, still work even if other functions are blocking. Moreover, they are much more precise (certainly depending on clock frequency accuracy) than other software timers using millis() or micros(). That's mandatory if you need to measure some data requiring better accuracy. 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.
Data quality estimations for OpenStreetMap
Unofficial Pytorch implementation of Deep Compression in CIFAR10
This library enables you to use Interrupt from Hardware Timers on an SAMD-based board. These SAMD Hardware Timers, using Interrupt, still work even if other functions are blocking. Moreover, they are much more precise (certainly depending on clock frequency accuracy) than other software timers using millis() or micros(). That's mandatory if you need to measure some data requiring better accuracy. 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. SAMD21 now can use 6 Timers
Evaluate results from ASR/Speech-to-Text quickly
Genre Classification using Convolutional Neural Networks
This library enables you to use Interrupt from Hardware Timers on an STM32F/L/H/G/WB/MP1-based board. These STM32F/L/H/G/WB/MP1 Hardware Timers, using Interrupt, still work even if other functions are blocking. Moreover, they are much more precise (certainly depending on clock frequency accuracy) than other software timers using millis() or micros(). That's mandatory if you need to measure some data requiring better accuracy. 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.