885 Open source projects that are alternatives of or similar to Wsddn

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

This toolbox is support material for the book on CNN (http://www.convolution.network).

Awesome Resources for Advanced Computer Vision Topics

Serve machine learning models using tensorflow serving

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

🎨 A CNN visualizer

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Copy-paste augmentation for segmentation and detection tasks

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

High level network definitions with pre-trained weights in TensorFlow

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

R interface to the keras library

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

videos, lectures, blogs for Deep Learning

Keras implementation of m2det object detection.

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Object detection from images/point cloud using ROS

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

A Neural Networking library based on NumPy only

Enabling Deep Residual Networks for Weakly Supervised Object Detection

FCOS: Fully Convolutional One-Stage Object Detection.

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

convolutional lstm implementation in pytorch

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

Convert any classification model or architecture trained in keras to an object detection model

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

PyTorch extensions for fast R&D prototyping and Kaggle farming

MR-CNNs for Large-Scale Scene Recognition

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

Differentiable IoU of rotated bounding boxes using Pytorch

CNN accelerator

Deep Learning sample programs using PyTorch in C++

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A tensorflow implementation for EEGLearn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch