SorourMo

DeepNetsForEO

Deep networks for Earth Observation

dataset-distillation

Open-source code for paper "Dataset Distillation"

Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification

LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.

deepglobe_land_cover_classification_with_deeplabv3plus

DeepGlobe Land Cover Classification Challenge遥感影像语义分割

land-cover

Deep learning for land cover mapping

pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

DDCM-Semantic-Segmentation-PyTorch

Dense Dilated Convolutions Merging Network for Semantic Segmentation

mlflowdocker

Docker for mlflow framework

geospatial-careers

Curated list of companies in geospatial industry which you can use when looking for a job

refined-unet-v2

pvl8dagans

Code of work Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection

CloudXNet

Cloud detetction from Satelllite Images

tf-keras-PSPNet

PSPNet for Semantic Segmentation with tensorflow and keras

tf-keras-SegNet

SegNet including indices pooling for Semantic Segmentation with tensorflow and keras

receptive_field

Compute receptive fields of your favorite convnets

Fmask

The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.

ghost-free-shadow-removal

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

attentioned-dual-stage-stock-prediction

By PyTorch

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

DA-RNN

Tensorflow implementation of paper http://arxiv.org/abs/1704.02971

DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction

DARNN

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

dual_stage_attention_rnn

A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

keras-surgeon

Pruning and other network surgery for trained Keras models.

Awesome-Pruning

A curated list of neural network pruning resources.

coco2voc

A tool for converting COCO style annotations to PASCAL VOC style segmentations

academic-portfolio

Academic Portfolio

multimedialab

SFU Multimedia Lab Website