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Name: Alexandre Gas
Type: User
Company: UCLA - Cyber Physical Systems Lab
Bio: Controls, robotics & AI. Piano, film music and video games.
Location: Westwood Plaza, Los Angeles, CA 90095
Name: Alexandre Gas
Type: User
Company: UCLA - Cyber Physical Systems Lab
Bio: Controls, robotics & AI. Piano, film music and video games.
Location: Westwood Plaza, Los Angeles, CA 90095
Data science algorithms
This project consists in the design and implementation of a python program, which describes a new assembled manufactured product, its components, relations and technical solutions used to maintain them together, and the function/role each component carries. Once the product is described, ideally, the program must be able to automatically compute a functional assembly routing.
In this project, I coded Deep Neural Networks from scratch: using only Numpy. I implemented different layers: Fully Connected, Convolutional, Dropout. I also implemented Batch Normalization. I vectorized the entire process to reduce computational time.
The workspace for our computational robotics class. I explored different techniques such as Bayesian filtering in a Gridworld environment, Graph Based Motion Planning on a chess board, Kalman Filtering... Work in progress !
In this project, I implemented a framework to try and infer COVID diagnosis from chest X-rays. I first trained a specific U-net to generate masks to segment specific areas of chest x-rays, and CNNs to infer Covid-19 diagnosis on the segmented areas of the lungs.
Contains all the files linked with my Data_Science project
In this project, I use classical computer vision techniques to detect lane lines on road recordings. After applying color filters to outline the road markings, I use Gaussian smoothing and Canny Edge detection to extract points belonging to the lane lines. I extract the lines using the Hough transform.
Collection of LeetCode questions I solved in Python and C++ !
Algorithms studied during the "Machine Learning with Python" IBM course
🖼 A lightweight neuroimaging .nii to .png converter for Matlab and Python users
In this project, I implement a framework to detect and track vehicles across different frames from road recordings.
A cool project in which we do path planning in an environment with moving obstacles and large scale fixed obstacles. We use two different representations of the world to handle the fixed and moving obstacles.
In this project, I use convolutional and LSTM neural networks to predict pedestrian intention (crossing the road or staying still). The dataset used is the JAAD dataset, which provides clips of pedestrians crossing the street, as well as useful metadata. I built a complete pipeline to process this dataset and make it suitable for neural networks.
In this project, I implement a softmax classifier and a K-nearest-neighbor algorithm from scratch and train them. I do not use any DL library, only classic math libraries are required (numpy, math, mathplotlib...).
In this project, I applied robust spectral clustering techniques to LiDAR scans to outline lines in the environment. After matching the lines across different scans, I can deduce the rotation and translation of the robot between each LiDAR scan.
In this project, I computed the trajectory of an object from a sequence of images by extracting and tracking specific features of the object. I eliminated matches violating the epipolar constraint to improve accuracy.
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.