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admm-elastic

ADMM ⊇ Projective Dynamics: Fast Simulation of Hyperelastic Models with Dynamic Constraints

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

autonomousvehiclepaper

无人驾驶相关论文速递

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

azurechestxray

Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

bdd_driving_model

bha-data-mining-4

Datasets for Data Mining Class

catch

A modern, C++-native, header-only, framework for unit-tests, TDD and BDD

cmcode

Ming-Ming Cheng's open source projects

cnn-benchmarks

Benchmarks for popular CNN models

cnn-vis

Use CNNs to generate images

colorsymdetect

Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms (ICCV 2017)

contentbasedimageretrieval

To improve the performance of content based image retrieval by using binary tree structures to describe high level image features in addition to the usage of color and texture features. Implemented using Python and OpenCV. Color histograms, multilevel 2D Discrete Wavelet Transform decomposition of image regions and safe color cube based segmentation are used to extract features. Chi-squared distance and Minkowski distance are used to rank database images with respect to query image.

cudalbfgs

This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.

deepcontour

The testing code for deep contour detector

deepedge

deep learning edge detector based on U-net and BSDS 500 dataset

deepgtav

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

densecap

Dense image captioning in Torch

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

diff_pd

dlib

A toolkit for making real world machine learning and data analysis applications in C++

edge_detection_framework

Pytorch implementation of different edge detection networks, such as Holistically-Nested Edge Detection and PixelNet

edges

Structured Edge Detection Toolbox

end-to-end-learning-for-self-driving-cars

An implementation of End to End Learning for Self-Driving Cars https://arxiv.org/abs/1604.07316 and visualize the cnn model https://arxiv.org/abs/1611.05418

fast-neural-style

Feedforward style transfer

gco-v3.0

Multi-label optimization library by Olga Veksler and Andrew Delong

git---github.com-openshift-spring-eap6-quickstart

Quickstart fom Openshift

gptoolbox

Matlab toolbox for Geometry Processing.

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf