evu

Brno-Urban-Dataset

Navigation and localisation dataset for self driving cars and autonomous robots

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

empty

something to go get

iclr2019

karabiner-windows-mode

Karabiner-Elements ruleset to make using Mac OS more sane by enabling common keyboard functionality used in Linux and Windows.

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

python-dev-env

Python dev environment setup

resnet-18-tensorflow

ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt

RaySAR

RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.

rotated_maskrcnn

Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes

sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

sar-pre-processing

This is the MULTIPLY repository containing the functionality for SAR pre processing.

sarpy

A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

sat-stac

Python library for creating and working with STAC catalogs

Satellite-Imagery-Datasets-Containing-Ships

A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

TensorFlow2.0-Examples

🙄 difficult algorithm, simple code.

ulam-spiral

A graphical depiction of the set of prime numbers

VDCNN

Tensorflow 2.0 Implementation of Very Deep Convolutional Neural Network for Text Classification

vimrc

The ultimate Vim configuration (vimrc)

vincenty

Calculate the geographical distance between 2 points with extreme accuracy.

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

YOLOv3_TensorFlow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.