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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

aerial_mtl

PyTorch implementation for multi-task learning with aerial images for the datasets: IEEE Data Fusion Contest 2018 (DFC2018) and ISPRS-Vaihingen.

ai4boundaries

aitlas

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

book_understanding_dl

Understanding Deep Learning - Simon J.D. Prince

courseaiml

A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.

decode

Python code for the DECODE method and mxnet code for Fractal ResUNet

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

drone_causality_liquid_neural_network

Training, data processing, and analysis code used for the paper "Robust Visual Flight Navigation with Liquid Neural Networks".

esda_cee506

Environmental Spatial Data Analysis

faunet_fbd

Official Implementaion of FAUNet

geebook

Geospatial Data Science with Earth Engine and Geemap

groungseg_lidar

Progressive TIN Densification (PTD) Algorithm for LiDAR Data Filtering

hft-ki-workshop_2023

Resources for the HFT KI Workshop, 2023

hrvit

HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.

iadfschool2023_efficientlearning

Resources for the GRSS IADF School 2023: Label-efficient Deep Learning in Remote Sensing

igarss2023_efficientdeeplearningeo

Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"

ikea-distance

How far is Ikea? A data science toy project.

kcsumesh.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

lulc

Example code for land-use/land-cover classification from satellite imagery

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

numpy-hilbert-curve

Numpy implementation of Hilbert curves in arbitrary dimensions

planetarycomputerexamples

Examples of using the Planetary Computer

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

refined-edge-detection-with-cascaded-and-high-resolution-convolutional-network