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

Tools to suggest SQL columns for Pyrog

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

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

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Keras BiseNet architecture implementation

Myriota Software Development Kit

📡 LRIT demodulator from weather satellite GEO-KOMPSAT-2A (GK-2A).

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Lip and hair color editor using face parsing maps.

Machine Learning Project to identify an ID Card on an image

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Reimplementing cool papers in PyTorch...

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

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

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

MiraPy: A Python package for Deep Learning in Astronomy

A generic satellite data processing software.

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

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.

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.

Focal Loss of multi-classification in tensorflow

AttaNet for real-time semantic segmentation.

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

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

A collection of 300+ examples for using Earth Engine and the geemap Python package

ML algorithm for real-time classification

CLUE baseline pytorch CLUE的pytorch版本基线

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Pyspectral is a package to read and manipulate satellite sensor spectral responses and solar irradiance spectra

Text classification meets word embeddings.

R package to Embed All the Things! using StarSpace

dzetsaka : classification plugin for Qgis

ResNet for Cifar10

pansharpening landsat scenes

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

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

CLANA is a toolkit for classifier analysis.

Deep and Machine Learning for Microscopy

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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

R Package to make Landsat8 data accessible

A python implementation of Patchy-San Convolutional Network for Graph

a deep-learning-based river centerline extraction model

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Satellite/Aerial Image Retrieval: using Bing maps tile system to automatically download aerial imagery (maximum resolution available) given a latitude, longitude bounding box.

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

Cut and paste augmentation for object detection and instance segmentation

Utility package for working with classification targets and label-encodings

Official PyTorch implementation of SegFormer

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

Urban change model designed to identify changes across 2 timestamps

Opensat first generation cubesat bus, launch into orbit at 2016/11/11

Experiments with satellite image data

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

View the orbit of satellites in a Cesium viewer, derived from a two line element list

Drug effect prediction using neural network

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Social Signal Processing for Android