ChrisLisbon

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

FEDOT

Automated modeling and machine learning framework FEDOT

BAMT

Repository of a data modeling and analysis tool based on Bayesian networks

topometry

Systematically learn and evaluate manifolds from high-dimensional data

open-source-ops

Полезные советы для open-source разработок (в том числе в области AI/ML)

Fedot.Industrial

Python framework for automated time series classification, regression and forecasting

EPDE

EPDE - partial differential equations discovery framework

GOLEM

Graph Optimiser for Learning and Evolution of Models

torch_DE_solver

Combines power of torch, numerical methods to conquer and solve ALL {O,P}DEs

GEFEST

Toolbox for the generative design of geometrically-encoded physical objects using numerical modelling and evolutionary optimization

FEDOT.Web

Graphic tool for the automated evolutionary design of composite models

rostok

Rostok is an open source library which provides the framework for generative co-design of mechatronic and robotic systems.

Web-BAMT

Online tool for Bayesian Networks

GAMLET

Framework for meta-optimisation in AutoML tasks

pytsbe

Tool for benchmarking automated time series forecasting algorithms

SSGP-toolbox

Simple Spatial Gapfilling Processor. Toolbox for filling gaps in spatial datasets (e.g. remote sensing data)

TorchCNNBuilder

Framework for the automatic creation of CNN architectures

meteotik

Module for processing reanalysis grids and comparative analysis of time series with meteorological parameters

emergency_datahack_nss

The repository contains the data of the NSS lab team for the hackathon "Emergency DataHack"

QGIS_LinesRankingPlugin

Repository for QGIS Lines Ranking Plugin

composite-flood-forecast

Code for paper "Short-term River Flood Forecasting using Composite Models and Automated Machine Learning: the Case Study of Lena River"

Landsat8_LST_PSWA

Module for LST retrieval from Landsat-8/TIRS imagery based on practical split-window algorithm + covariance-variance ratio (SWCVR) method

pecapiku

Persistent cache pickling utility.

test-repo

L8S2WaterDetector

Набор классов для предобработки и выделения водных объектов на спутниковых изображениях Landsat-8 и Sentinel-2

SREMPy-landsat

Python realization of SREM algorithm for Landsat imagery

LandsatBasicUtils

Metadata reader and basic calibration for Landsat imagery