Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
Uses WiFi signals :signal_strength: and machine learning to predict where you are
JittorGeometric is a Jittor-based graph machine learning library.
A high-performance topological machine learning toolbox in Python maintained by Giotto, a Swiss AI research lab.
Earth observation processing framework for machine learning in Python
Visual analysis and diagnostic tools to facilitate machine learning model selection.
StellarGraph - Machine Learning on Graphs
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
HERRO is a highly-accurate, haplotype-aware, deep-learning tool for error correction of Nanopore R10.4.1 or R9.4.1 reads (read length of >= 10 kbps is recommended).
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
[IJCV 2026] Project Page for "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey".
Using of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence.
A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
A WeChat MiniProgram Image AR using computer vision. No OpenCV, No Deep Learning. Only JavaScript Implementation.
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras
A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
24,545 repositories in the index in total.
