1105 Open source projects that are alternatives of or similar to Graph Cnn In 3d Point Cloud Classification

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

A CoreML model which classifies images of food

Easily bind a chart to the data stored in your Vue.js components.

XChart wrapper for Clojure

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Automated Driving in NFS using CNN.

Code to retrieve data for the programming languages influence visualizations from Freebase

A visual representation for sorting algorithms

Real time face alignment

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

A graph node engine and editor written in Javascript similar to PD or UDK Blueprints, comes with its own editor in HTML5 Canvas2D. The engine can run client side or server side using Node. It allows to export graphs as JSONs to be included in applications independently.

a node-able bidirectionnal expression editor.

[TensorFlow] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

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

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Build REST APIs with Neo4j and Flask, as quickly as possible!

SHAInet - a pure Crystal machine learning library

The Awksome Git Graph Generator

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

Minimalistic graph card for Home Assistant Lovelace UI

Quantization of Convolutional Neural networks.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

This repository includes all the interview preparation questions for Amazon SDE role

Graph-based image sequences matching for the visual place recognition in changing environments.

Wolfram Language Package for exploring Set and Hypergraph Substitution Systems

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

3D image classification using CNN (Convolutional Neural Network)

Reference caffe implementation of LSUV initialization

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

Vue 关联关系图谱组件，可以展示如组织机构图谱、股权架构图谱、集团关系图谱等知识图谱，可提供多种图谱布局，包括树状布局、中心布局、力学布局自动布局等。Vue component for relationship graph , which can display knowledge graphs, such as organization graph, equity structure graph, group relationship graph,

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

code/webpage for the DeepMapping project

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

3D Graph Neural Networks for RGBD Semantic Segmentation

Mongolian speech recognition with PyTorch

Common data structures and algorithms implemented in JavaScript

CVPR2014-Convolutional neural networks for no-reference image quality assessment

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Convolutional Neural Networks for Cardiac Segmentation

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Image Tampering Detection using ELA and CNN

CNN image classifier implemented in Keras Notebook 🖼️.

This ansible role gets information from an AWS VPC and generate a graphical representation of security groups

Graph Neural Network

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.

A tool for GTFS transit and OSM pedestrian network accessibility analysis

Apache TinkerPop - a graph computing framework

A High-Quality Real Time Upscaler for Anime Video

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

High-quality LeetCode solutions

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Clojure library for querying Apache TinkerPop graphs

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

An interactive map of Stack Exchange tags for all sites.