PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

Last update: Aug 25, 2022

Related tags

Deep Learning pytorch_eo

Overview

Pytorch EO

Deep Learning for Earth Observation applications and research.

🚧 This project is in early development, so bugs and breaking changes are expected until we reach a stable version.

Installation

pip install pytorch-eo

Examples

Learn by doing with our examples.

Ready to use Datasets

Challenges

PytorchEO has been used in the following challenges:

EUROAVIA Mission: European Students Space Hackathon, 2021.
On Cloud N: Cloud Cover Detection Challenge (DrivenData, 2021).

Contributing

Read the CONTRIBUTING guide.

Owner

earthpulse

Complex data, made easy

GitHub Repository

This is a yolo3 implemented via tensorflow 2.7

YoloV3 - an object detection algorithm implemented via TF 2.x source code In this article I assume you've already familiar with basic computer vision

2 Jan 17, 2022

This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

ObjProp Introduction This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Insta

6 May 03, 2022

(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

Energy-based Latent Aligner for Incremental Learning Accepted to CVPR 2022 We illustrate an Incremental Learning model trained on a continuum of tasks

37 Jan 03, 2023

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

32 Nov 09, 2021

Using Hotel Data to predict High Value And Potential VIP Guests

Description Using hotel data and AI to predict high value guests and potential VIP guests. Hotel can leverage on prediction resutls to run more effect

12 Feb 14, 2022

converts nominal survey data into a numerical value based on a dictionary lookup.

SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text

1 Jan 18, 2022

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation This project attempted to implement the paper Putting NeRF on a

254 Dec 27, 2022

A blender add-on that automatically re-aligns wrong axis objects.

Auto Align A blender add-on that automatically re-aligns wrong axis objects. Usage There are three options available in the 3D Viewport Sidebar It

29 Nov 25, 2022

Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

Action-Based Conversations Dataset (ABCD) This respository contains the code and data for ABCD (Chen et al., 2021) Introduction Whereas existing goal-

49 Oct 09, 2022

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a2c-ppo-acktr Update (April 12th, 2021) PPO is great, but Soft Actor Critic can be better for many continuous control tasks. Please check out

3k Jan 09, 2023

PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

Related tags

Overview

Pytorch EO

Installation

Examples

Ready to use Datasets

Challenges

Contributing

Owner

earthpulse

This is a yolo3 implemented via tensorflow 2.7

This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

Using Hotel Data to predict High Value And Potential VIP Guests

converts nominal survey data into a numerical value based on a dictionary lookup.

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation

A blender add-on that automatically re-aligns wrong axis objects.

Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

GraPE is a Rust/Python library for high-performance Graph Processing and Embedding.

Conversational text Analysis using various NLP techniques

Markov Attention Models

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images"

Deep Multimodal Neural Architecture Search

source code of “Visual Saliency Transformer” (ICCV2021)

The official implementation of ICCV paper "Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds".

NLU Dataset Diagnostics

Optimizing synthesizer parameters using gradient approximation