Deep learning with TensorFlow and earth observation data.

Last update: Nov 16, 2022

Related tags

Deep Learning tensorflow-eo-training

Overview

Deep Learning with TensorFlow and EO Data

Complete file set for Jupyter Book

Autor: Development Seed

Date: 04 October 2021

ISBN: (to come)

Notebook tutorials demonstrating advanced techniques for use of deep learning with TensorFlow and earth observation data.

How to run the executable book code:

A major advantage of executable books is that the reader may enjoy running the source codes himself, modifying them and playing around. No downloading, installation or configuration are required. Simply go to

https://developmentseed.github.io/tensorflow-eo-training/docs/index.html,

and in the left menu select any chapter below the Introduction, click the "rocket" icon at the top right of the screen, and choose "Colab".

Links:

Jupyter Book: https://developmentseed.org/tensorflow-eo-training/docs/index.html

Owner

Development Seed

GitHub Repository https://developmentseed.org/tensorflow-eo-training/docs/index.html

CryptoFrog - My First Strategy for freqtrade

cryptofrog-strategies CryptoFrog - My First Strategy for freqtrade NB: (2021-04-20) You'll need the latest freqtrade develop branch otherwise you migh

137 Jan 01, 2023

SelfAugment extends MoCo to include automatic unsupervised augmentation selection.

SelfAugment extends MoCo to include automatic unsupervised augmentation selection. In addition, we've included the ability to pretrain on several new datasets and included a wandb integration.

24 Oct 26, 2022

Robust Partial Matching for Person Search in the Wild

APNet for Person Search Introduction This is the code of Robust Partial Matching for Person Search in the Wild accepted in CVPR2020. The Align-to-Part

36 Dec 18, 2022

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition [ArXiv] [Project Page] This repository is the official implementation of AdaMML:

43 Dec 26, 2022

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

31 Nov 20, 2022

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021)

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi Code

18 Dec 27, 2022

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

368 Dec 06, 2022

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

Energy-based Conditional Generative Adversarial Network (ECGAN) This is the code for the NeurIPS 2021 paper "A Unified View of cGANs with and without

22 May 28, 2022

Implementation of the state-of-the-art vision transformers with tensorflow

ViT Tensorflow This repository contains the tensorflow implementation of the state-of-the-art vision transformers (a category of computer vision model

2 Mar 16, 2022

CaLiGraph Ontology as a Challenge for Semantic Reasoners ([email protected]'21)

CaLiGraph for Semantic Reasoning Evaluation Challenge This repository contains code and data to use CaLiGraph as a benchmark dataset in the Semantic R

0 Jun 08, 2022

Team nan solution repository for FPT data-centric competition. Data augmentation, Albumentation, Mosaic, Visualization, KNN application

FPT_data_centric_competition - Team nan solution repository for FPT data-centric competition. Data augmentation, Albumentation, Mosaic, Visualization, KNN application

2 Oct 30, 2022

Deep learning with TensorFlow and earth observation data.

Related tags

Overview

Deep Learning with TensorFlow and EO Data

Owner

Development Seed

CryptoFrog - My First Strategy for freqtrade

SelfAugment extends MoCo to include automatic unsupervised augmentation selection.

Robust Partial Matching for Person Search in the Wild

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021)

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

Implementation of the state-of-the-art vision transformers with tensorflow

CaLiGraph Ontology as a Challenge for Semantic Reasoners ([email protected]'21)

Team nan solution repository for FPT data-centric competition. Data augmentation, Albumentation, Mosaic, Visualization, KNN application

Trajectory Extraction of road users via Traffic Camera

Cross-platform-profile-pic-changer - Script to change profile pictures across multiple platforms

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Official repo for BMVC2021 paper ASFormer: Transformer for Action Segmentation

PyTorch implementation of Higher Order Recurrent Space-Time Transformer

A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems

🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

Chatbot in 200 lines of code using TensorLayer