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3d-reconstruction-with-deep-learning-methods

List of projects for 3d reconstruction

3d-tiles

Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

3d-tiles-samples

Sample tilesets for learning how to use 3D Tiles :books:

3dcnn-vis

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

a-hybrid-method-for-pavement-crack-width-measurement

A method to calculate the width of a binary image as described in:

a_fast_and_accurate_robotic_grasping_system_using_deep_learning

acerta-abide

Deep learning using the ABIDE data

as_6dof_arm

robot arm by ROS & Moveit, Train Deep Reinforcement Algorithms

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

autism-detection-api

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask API to make predictions in the cloud.

awesome-dash

A curated list of awesome Dash (plotly) resources

awesome-deepneuroimage

A curated list of awesome deep learning applications in the field of neurological image analysis

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-robotics

A curated list of awesome links and software libraries that are useful for robots.

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

blog

alpha i's blog

brainbrowser

Web-based visualization tools for neurological data.

camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

cem

Cross Entropy Method for RL

cnn-3d-images-tensorflow

3D image classification using CNN (Convolutional Neural Network)

coco-dataset-explorer

Streamlit tool to explore coco datasets

concrete_crack_detection_and_analysis_sw

콘크리트 구조물 균열 탐지 및 분석 소프트웨어 (2018 글로벌 SW 공모대전 수상작)

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convolution-layer-visualization-vgg-16

A GUI Tool for visualizing the intermediate layer of VGG-16 CNN trained on Imagenet

crack-detection-tf-1.x.x

Mask and instance-based crack detection for Python 3, Keras and TensorFlow 1.x.x

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

crackdataset_dl_hy

Pavement surface crack datasets for DL based crack detection

crcn

Coherence + Recurrent Neural Network + Convolutional Neural Network

crowd-counting-gui-pyqt

A crowd counting GUI system developed by pyqt4 which combines 3 models including YOLO, RetinaNet and MCNN.

customtkinter

A modern and customizable python UI-library based on Tkinter