Explore Projects
Discover 31 open source projects
Showing 1-20 of 31 projects
datalab-to/marker
Converts PDFs to markdown and JSON with high accuracy
NVIDIA/DeepLearningExamples
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
thewhiteh4t/seeker
This is a reconnaissance tool for locating smartphones using social engineering techniques.
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
kuangliu/pytorch-cifar
A PyTorch implementation of a CIFAR10 model achieving 95.47% accuracy.
AndrewHartAR/ARKit-CoreLocation
Combines the high accuracy of ARKit with the scale of GPS data for augmented reality applications.
Kodezi/Chronos
Kodezi Chronos is a state-of-the-art debugging-first language model for code analysis and bug fixing.
ecthros/uncaptcha2
A Python library that uses machine learning to bypass the latest version of the ReCaptcha verification system with 91% accuracy.
dongrixinyu/JioNLP
A comprehensive Chinese NLP preprocessing and parsing package with high accuracy, efficiency, and ease of use.
FNA-XNA/FNA
FNA is an open-source, accuracy-focused reimplementation of the XNA4 framework for game development on various platforms.
xuebinqin/DIS
A high-accuracy image segmentation tool using the U-2-Net deep learning model for background removal.
gkamradt/LLMTest_NeedleInAHaystack
A Jupyter Notebook project for measuring the accuracy of retrieval from large language models at various context lengths.
noob-hackers/ipdrone
A Python script to track location with live address and accuracy using Termux on Linux platforms.
serengil/retinaface
A deep face detection library for Python with high accuracy and real-time performance.
szilard/benchm-ml
A benchmarking tool for evaluating the performance of popular machine learning algorithms and libraries.
CalculatedContent/WeightWatcher
A tool for predicting the accuracy of Deep Neural Networks, focused on AI coding tools.
adobe/antialiased-cnns
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
gjtorikian/html-proofer
A Ruby-based tool for testing the accuracy of rendered HTML files.
helixarch/debtap
A script for converting .deb packages into Arch Linux packages, focused on accuracy.
sepandhaghighi/pycm
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
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