SebasAlmagro's repositories
arcgis-python-api
Documentation and samples for ArcGIS API for Python
automated-building-detection
Automated Building Detection using Deep Learning
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
dash
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Deep-Satellite-Image-Segmentation
Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)
dockerfiles
Dockerfiles I use for development
DroneBridge
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
geometry2
A set of ROS packages for keeping track of coordinate transforms.
Ipopt-1
COIN-OR Interior Point Optimizer IPOPT
make-sense
Free to use online tool for labelling photos. https://makesense.ai
MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
nav2_rosdevday_2021
Custom scripts, packages, and notebooks for the ROS Dev Day 2021 talk
navigation2
ROS2 Navigation Framework and System
optimizer
explore model predicitive controllers and contraint optimizers
osqp
The Operator Splitting QP Solver
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
PlotJuggler
The Time Series Visualization Tool that you deserve.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
rapidcsv
C++ CSV parser library
Reach-Stacker-Model
This a 3D model of a Reach Stacker
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.
Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
TeleSculptor
TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
thinking-in-data
A VS Code extension pack to help users visualize, understand, and interact with data.
Tutorial-on-CasADi-with-CPP
This is a Tutorial on how to use CasADi with CPP.