Dave Moffat's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
techniques
Techniques for deep learning with satellite & aerial imagery
ML-Papers-Explained
Explanation to key concepts in ML
alive-progress
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
zero-to-jupyterhub-k8s
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
multi_agent_path_planning
Python implementation of a bunch of multi-robot path-planning algorithms.
easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Awesome_Underwater_Datasets
Pointers to large-scale underwater datasets and relevant resources.
sentinel2-cloud-detector
Sentinel Hub Cloud Detector for Sentinel-2 images in Python
waste-datasets-review
List of image datasets with any kind of litter, garbage, waste and trash
litter-detection-review
A list of useful resources in the trash classification and detection (mainly plastic), such as datasets, papers, links to open source projects
sciml-bench
SciML Benchmarking Suite for AI for Science
Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
Trend_paper
Codes necessary to produce the results of the paper "Contrasted trends in chlorophyll-a satellite products" Pauthenet et al (submitted)
fabm-spectral
FABM implementation of the Ocean-Atmosphere Spectral Irradiance Model, which simulates the propagation of spectrally resolved direct and diffuse irradiance in atmosphere and oceans.