Accuracy Open Source Projects

The most advanced free and open-source browser fingerprinting library

Accurately Locate Smartphones using Social Engineering

A PyTorch implementation of EfficientNet

Combines the high accuracy of AR with the scale of GPS data.

defeating the latest version of ReCaptcha with 91% accuracy

FNA - Accuracy-focused XNA4 reimplementation for open platforms

Defeating Google's audio reCaptcha with 85% accuracy.

Deep Learning Porn Video Classifier/Editor with Caffe

Easily get the device's current location on iOS.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

A tiny neural network library

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Track Location With Live Address And Accuracy In Termux

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

React native geolocation service for iOS and android

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

A script for converting .deb packages into Arch Linux packages, focused on accuracy

Code for the Kaggle Ensembling Guide Article on MLWave

High-quality implementations of standard and SOTA methods on a variety of tasks.

Multi-class confusion matrix library in Python

Developer friendly Natural Language Processing ✨

Background and foreground geolocation plugin for React Native. Tracks user when app is running in background.

higan is a multi-system emulator focused on accuracy, preservation, and configurability.

A New Padding Scheme: Partial Convolution based Padding

Home surveillance system with facial recognition

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

An awesome OCR engine developed by SYSU DeepDriving Lab

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

A Rust library for manipulating curves

Network Slimming (Pytorch) (ICCV 2017)

Diffprivlib: The IBM Differential Privacy Library

A leaflet control to geolocate the user.

Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Emotion recognition using DNN with tensorflow

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

NASBench: A Neural Architecture Search Dataset and Benchmark

ViewMonitor can measure view positions with accuracy.

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

Reference implementation of a two-level RCN model

FAudio - Accuracy-focused XAudio reimplementation for open platforms

Get the current time in microseconds

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Image Segmentation framework based on Tensorflow and TF-Slim library

A GPS logger for Android mobile devices

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

A general-purpose neural semantic parser for mapping natural language queries into machine executable code

Detects clickbait headlines using deep learning.

Detect fire in images using neural nets

An Experimental Implementation of Face Verification, 96.8% on LFW.

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥