Stars
Sentinel-1 & Sentinel-2 data cubes at large scale (bigger-than-memory) on any machine with integrated cloud detection, snow masking, harmonization, merging, and temporal composites.
Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023
The official repository of Mozilla's Firefox web browser.
Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
AI models trained by Google to classify species in images from motion-triggered widlife cameras.
Animl comprises a variety of machine learning tools for analyzing ecological data. This Python package includes a set of functions to classify subjects within camera trap field data and can handle …
The Galileo family of pretrained remote sensing models
Repository for code shared by presenters in the EFI hosted Statistical Methods Seminar Series
Lightweight Python library for adding real-time multi-object tracking to any detector.
Single-species, Multi-species, and Integrated Spatial Occupancy Models
Personalized Representation from Personalized Generation (ICLR 2025)
State of the art inference for your bayesian models.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
List of resources related to LD_PRELOAD, a mechanism for changing application behavior at run-time
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval accepted at IJCAI'24 and CV4Animals@CVPR'24
This repo contains the evaluation code for the INQUIRE benchmark
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…