federico-pizarrobejarano Goto Github PK
Name: Federico Pizarro Bejarano
Type: User
Bio: I'm a Masters student in robotics at the University of Toronto studying safe learning-based control
Location: Toronto
Name: Federico Pizarro Bejarano
Type: User
Bio: I'm a Masters student in robotics at the University of Toronto studying safe learning-based control
Location: Toronto
Fast and embedded solvers for nonlinear optimal control
All the code I wrote for various Junior and Senior CCC contests
Abstract This investigation determines the extent that characters can be identified in images using the logistic regression and single-layer neural network algorithms. Optical character recognition (OCR) is a computer vision, supervised learning problem. The dependent variables were the optimal value of the regularization parameter lambda, the accuracy on the training, cross validation, and test sets, and the time needed to train each classifier. A dataset of 74,000 images composed of fonts, handwritten characters, and real images of letters and numbers was used. For the purposes of this investigation only a subset of the font dataset was used. Each image was resized to be 20x20 pixels and then converted to a 1x400 vector of pixel values. The logistic regression algorithm attempts to fit parameters to the 400 pixel values to form a hypothesis function. To optimize the parameters, the algorithm defines a cost function and then performs gradient descent on the parameters. The tunable parameters were additional features added in an attempt to create more complex, representative functions. A single-layer neural network passes the input data to a hidden layer where the data is partially processed. The partially processed data is then passed to the output layer where the final predictions are made. The tunable parameter was the number of hidden units in the hidden layer. The logistic regression algorithm achieved an accuracy of 85.14% with no added features and a lambda value of 1. The neural network achieved a significantly higher accuracy of 90.19% using 200 hidden units and no regularization. Logistic regression had a time complexity of O(n) while the neural network had a significantly better time complexity of O(√h). This paper investigates the properties of both algorithms as well as establishes the inability of both algorithms to identify characters to sufficiently high accuracies.
Recreating a decentralized multi-robot exploration algorithm found here: https://www.researchgate.net/publication/235642260_Distributed_Value_Functions_for_Multi-Robot_Exploration_a_Position_Paper
A modified version of GubiD's GTBS for RPG Maker VX Ace that uses Dungeons and Dragons rules.
Here is TONS of code written for the Don Mills Online Judge. I know this code can be used by others to falsely pretend they have completed code for DMOJ but as it is a self-improvement site and gives no rewards, plagiarizing this seems unnecessary.
All the code written for various ECOO competitions at various levels
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Testing different image denoising techniques through the lens of convex optimization.
Code from 2017 Microsoft Coding Competition
Code accompanying the RA-L / ICRA 2020 paper: "Online Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning"
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Completed Code from UTEK 2017 and UTEK 2018. UTEK 2017 is concerned with analyzing station locations
Creating a visual odometry pipeline based on LSD-SLAM (https://vision.in.tum.de/research/vslam/lsdslam) to localize a rover using the CPET dataset (https://starslab.ca/enav-planetary-dataset/)
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.