1142 Open source projects that are alternatives of or similar to Torchsat

A time series signal analysis and classification framework

Very simple API to download Landsat [1-5, 7, 8] data from Google

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

🛰️ Python library and CLI tools for processing geospatial imagery for ML

An open-source semi-automated processing chain for urban OBIA classification.

Satellite Stereo Pipeline

Search and download Copernicus Sentinel satellite images

MODIS Assimilation and Processing Engine

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

A ninja python package that unifies the Google Earth Engine ecosystem.

Awesome Spectral Indices in Python.

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Supercharger for mercantile

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Online feature-extraction and classification algorithm that learns representations of input patterns.

An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.

Classification of WAV files from cats and dogs

Deep learning for the automated spectral classification of supernovae

Official repository for "Orthogonal Projection Loss" (ICCV'21)

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

Volumetric Fusion of Multiple Semantic Labels and Masks

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

How-To and Wiki pages for PW-Sat2 Ground Segment equipment and software dedicated for radio amateurs.

Software radio decoding

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

Lip and hair color editor using face parsing maps.

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Training framework & tools for PyTorch-based machine learning projects.

Access satelite imagery where it is needed

Myriota Software Development Kit

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

CLUE baseline pytorch CLUE的pytorch版本基线

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

R package to Embed All the Things! using StarSpace

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

QGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery

CLANA is a toolkit for classifier analysis.

Research project on building and evaluating deep learning models for landslides detection on satellite images

Various methods for generating synthetic data for data science and ML

An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Using deep learning to perform action recognition in the sport of tennis.

NOAA APT satellite imagery decoder (not-so-WIP)

🌏 📡 🌏 📡 ORBITM - Orbit maintenance, propulsion sizing, and life-time estimation of space objects!