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
A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.
Simple program to learn CNN (LeNet-5) in pure C
A curated list of deep learning resources for computer vision
Style transfer, deep learning, feature transform
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
Digit recognition with Convolutional Neural Networks in WebGL
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
MiVOLO age & gender transformer neural network
基于卷积神经网络的数字手势识别安卓APP，识别数字手势0-10（The number gestures recognition Android APP based on convolutional neural network(CNN), which can recognize the gestures corresponding number 0 to 10）
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
Raspberry Pi guitar pedal using neural networks to emulate real amps and effects.
Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
24,524 repositories in the index in total.
