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
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Deep learning-based outlier/anomaly detection
Classification of Lung cancer slide images using deep-learning
Apparel detection using deep learning
PyTorch for Deep Learning and Computer Vision Course
CNN for mechanical fault diagnosis
Beamforming design with deep learning.
Experimentation of deep learning on the subjects of micro-expression spotting and recognition.
Deep Learning Image Segmentation: Theory and Practice
Build a thin client deep learning camera with the Raspberry Pi, Flask, and YOLO
This repository accompanies the book "Deep Learning for Vision Systems".
《Matlab计算机视觉与深度学习实战》代码
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
Convolutional and LSTM networks to classify human activity
本仓库我将使用谷歌TensorFlow2框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较经典的目标检测网络、语义分割网络等。
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.
WiFi-3D-Fusion is an open-source research project that leverages WiFi CSI signals and deep learning to estimate 3D human pose, fusing wireless sensing with computer vision techniques for next-generation spatial awareness.
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
3D computer vision incuding SLAM，VSALM，Deep Learning，Structured light，Stereo，Three-dimensional reconstruction，Computer vision，Machine Learning and so on
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
24,524 repositories in the index in total.
