ryanjay0/miles-deep
quality grade D, 36 out of 100Deep Learning Porn Video Classifier/Editor with Caffe
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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
Deep Learning Porn Video Classifier/Editor with Caffe
List of projects for 3d reconstruction
A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Installation support for Deep Learning Frameworks for the ArcGIS System
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
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sEMG-based gesture recognition using deep learnig
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
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
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.
24,545 repositories in the index in total.