Manuel López Antequera

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Open source Structure-from-Motion pipeline

The Mobile Robot Programming Toolkit (MRPT)

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

A lightweight library for PyTorch training tools and utilities

NVR with realtime local object detection for IP cameras

YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.

A converter for excel exports from FitNotes to Garmin-Connect-ready .fit format for upload.

scikit-learn: machine learning in Python

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

D2Go is a toolkit for efficient deep learning

The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.

Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

No description.

Pytorch implementation of convolutional neural network visualization techniques

Screenly OSE | Digital Signage for the Raspberry Pi

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

A list of synthetic dataset and tools for computer vision

A small script to export Laverna notes to plain Markdown files

Tensorflow toolbox implementing several learnable pooling architecture

TensorFlow implementation of the Xception Model by François Chollet

No description.

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

Point Cloud Library (PCL)

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.