johanneshirn

johanneshirn

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drawio-desktop

Official electron build of draw.io

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pyenv

Simple Python version management

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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pyinstrument

🚴 Call stack profiler for Python. Shows you why your code is slow!

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gdal

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

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probability

Probabilistic reasoning and statistical analysis in TensorFlow

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OpenSfM

Open source Structure-from-Motion pipeline

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hed

code for Holistically-Nested Edge Detection

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VisDrone-Dataset

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

mbtiles-spec

specification documents for the MBTiles tileset format

mapbox-sdk-py

Python SDK for Mapbox APIs **DEVELOPMENT IS TEMPORARILY PAUSED, SEE CONTRIBUTING.md**

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python-visual-odometry

Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/

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rio-cogeo

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

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scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python

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mapbox-cli-py

Command line interface to Mapbox Web Services

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CompressionVAE

General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.

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rio-viz

Visualize Cloud Optimized GeoTIFF in browser

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VisDrone2018-DET-toolkit

Object Detection in Images toolkit for VisDrone2019

panorama

panorama stitcher

cog-spec

Repository for the Cloud Optimized GeoTIFF specification

rio-glui

Explore CloudOptimized geotiff on your browser using Mapbox GL JS

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gpdvega

gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data

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hed-edge-detector

Using pretrained hed edge detector model from caffe with opencv

starborn

Starborn: Seaborn-compatible data visualization for Python based on Altair

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UAVVaste

UAVVaste: COCO-like dataset and effective waste detection in aerial images

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vae-playground

Implementation of Variational Autoencoders using Pytorch Lightning

mnist-vae

Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior classification results with limited labels.

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ibis-vega-transform

@vega transforms with @ibis-project expressions

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mapserver-docker

Docker Image of Mapserver WMS server that renders imagery directly out of an AWS S3 bucket

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ngw_external_api_python

NextGIS Web Python API

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