Beast code in Giters

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Language:C++Apache-2.02 10

calib_ws

Full Robotic hand-eye calibration with depth sphere model workspace

Language:C++1 20

easy-dexnet

Dex-Net的一种更简单的实现方式

Language:Python1 10

2018_04_19_SurfaceReconstruction

Structured light 3D scanning using multiple frequency phase shifting

Language:Java010

abb

ROS-Industrial ABB meta-package (http://wiki.ros.org/abb)

Language:C++020

Deformable-ConvNets

Deformable Convolutional Networks

Language:PythonApache-2.0040

Detection_and_Recognition_in_Remote_Sensing_Image

This work uses PaNet to realize Detection and Recognition in Remote Sensing Image by MXNet

Language:PythonApache-2.0020

dex-net

Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics

Language:PythonNOASSERTION010

dropblock_mxnet_bottom_implemention

用C++实现一个mxnet版本dropblock Op 最后可以用mx.sym.Dropblock（）调用

Language:C++020

fast-matrix-nms

The Fastest Matrix NMS in the West.

Language:CudaMIT000

gluon-cv

Gluon CV Toolkit

Language:PythonApache-2.0010

Image-Registration

Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

Language:C++000

Kaggle-Peking-University-Baidu-Autonomous-Driving-32-place-solution

3D car detection competition on Kaggle : https://www.kaggle.com/c/pku-autonomous-driving/overview

Language:Python010

Kaggle_TGS2018_4th_solution

Kaggle TGS Salt Identification Challenge 2018 4th place code

Language:Python010

KUKA-iiwa-Camera-Calibration

Camera (Kinect Cam) Calibration routine for a KUKA iiwa Robot.

Language:JavaGPL-3.0010

License_Plate_Detection_Pytorch

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Language:Jupyter NotebookNOASSERTION010

LightConvPoint

Language:C++NOASSERTION010

medicaldetectiontoolkit

Language:PythonApache-2.0030

PointNetGPD

PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.

Language:PythonMIT020