Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Best Practices, code samples, and documentation for Computer Vision.

Automatic extraction of relevant features from time series:

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

COVID-Net Open Source Initiative

Native Python WFDB package

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…

DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

Deep Learning with Catalyst

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

High-performance time series downsampling algorithms for visualization

Some experiments with object detection in PyTorch

A PyTorch-based tool to generate clouds for satellite images.

Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

Satellite cloud removal with Deep Image Prior.

FasterAI: A repository for making smaller and faster models with the FastAI library.

Metrological Agent-based system (MET4FOF project)

Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery

Layer-wise pruning of a neural network implemented in Tensorflow 1.x.

MET4FOF UCAM-STRATH