tgrippa

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

github-readme-stats

:zap: Dynamically generated stats for your github readmes

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

FastPhotoStyle

Style transfer, deep learning, feature transform

kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

style-transfer

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

nbstripout

strip output from Jupyter and IPython notebooks

geonotebook

A Jupyter notebook extension for geospatial visualization and analysis

neural-style-pt

PyTorch implementation of neural style transfer algorithm

Neural-Network-Architecture-Diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

datasets

Datasets for deep learning with satellite & aerial imagery

framework-reproducibility

Providing reproducibility in deep learning frameworks

Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

criticalmaps-ios

Critical Maps iOS App 🚲✊

wrench

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark

Houses-dataset

This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.

timelapse-deflicker

Simple script to deflicker images taken for timelapses

point-cloud-processing

Point cloud processing slides

Unet-with-Pretrained-Encoder

The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is replaced with the pretrained encoder.

SST

ICSS

Interactive Continual Semantic Segmentation

learning-rate-finder-tensorflow

Implementation of learning rate finder in TensorFlow

Singularity-Tutorial

Materials for 3 hour hands-on workshop entitled "Creating and running software containers with Singularity"

DTM_DSM_GAN

DTM extraction from DSM and orthophotographs using GAN

Pix2pix-based-DSM-Enhancer

walousmaj