Name: J. Cappelletto
Type: User
Company: @ocean-perception @MecatronicaUSB
Bio: PhD student @ Maritime Engineering | Univ of Southampton -----------------------
Researcher @ Grupo I+D Mecatronica | Univ Simon Bolivar
Location: Southampton, UK
Blog: ocean.soton.ac.uk/
J. Cappelletto's Projects
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
:ocean: A curated list of awesome coral research tools and resources.
AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Curso EC5723: Implementación en C++ de clase básica para el uso de Algoritmos Genéticos
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Development of CoralNet.
Course on Course: Unix Workbench. Final Project
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
🦉 Data Version Control | Git for Data & Models | ML Experiments Management
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
Simple C++ interface for GeoTIFF I/O using GDAL
GPT4 & LangChain Chatbot for large PDF docs
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Collection of assisting tools to process/consume OpLab datasets+latents into general ML pipelines
Toolbox for meshed surfaces obtained from SfM or SLAM solutions
Python scripts for Metashape (former PhotoScan)
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276
Publication-ready NN-architecture schematics.
ArcGIS built-in python raster functions for deep learning to get you started fast.
A web interface to create custom vector-based visualizations on top of RAWGraphs core
A curated selection of charts provided through RAWGraphs interface
RAWGraphs core library
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.