salmagro Goto Github PK
Name: SebasAlmagro
Type: User
Bio: Electronic and Automation engineer focus on Robotic Systems. Ros2, Nav2, Optmization, Modeling, CV
Twitter: SebasAlmagro
Location: Aachen - Germany
Name: SebasAlmagro
Type: User
Bio: Electronic and Automation engineer focus on Robotic Systems. Ros2, Nav2, Optmization, Modeling, CV
Twitter: SebasAlmagro
Location: Aachen - Germany
Documentation and samples for ArcGIS API for Python
Automated Building Detection using Deep Learning
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.
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Dockerfiles I use for development
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.
A set of ROS packages for keeping track of coordinate transforms.
COIN-OR Interior Point Optimizer IPOPT
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
Free to use online tool for labelling photos. https://makesense.ai
Repository for the course "Model Predictive Control" - SSY281 at Chalmers University of Technology
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
Custom scripts, packages, and notebooks for the ROS Dev Day 2021 talk
ROS2 Navigation Framework and System
explore model predicitive controllers and contraint optimizers
The Operator Splitting QP Solver
Create HTML profiling reports from pandas DataFrame objects
The Time Series Visualization Tool that you deserve.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
C++ CSV parser library
This a 3D model of a Reach Stacker
Simple code for testing colab running.
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.
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.