kadupitiya Goto Github PK
Name: Jcs Kadupitiya
Type: User
Bio: Software Engineer at @microsoft
Blog: https://scholar.google.com/citations?user=A3ggpvcAAAAJ
Name: Jcs Kadupitiya
Type: User
Bio: Software Engineer at @microsoft
Blog: https://scholar.google.com/citations?user=A3ggpvcAAAAJ
Simualtes the assembly of binary nanoparticle superlattices (BNSL)
Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation & OAuth2 support
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
contains datasets for training and testing ML models
The Official Website for Department of Electrical and Information Engineering
Code for our paper "Hamiltonian Neural Networks"
Artificial Neural Network in hardware
Gregor von Laszewski
Sabra, Ossen
My Portfolio for APPs
Markdown Cheatsheet for Github Readme.md
polyvalent nanoparticle binding simulator
This code allows users to simulate ions confined between material surfaces that are nanometers apart, and extract the associated ionic structure.
Simulates assembly of nanoparticles and oppositely-charged linkers under different physiological conditions. Outputs are structural information such as pair distribution functions.
This code computes the density distribution of ions near a spherical nanoparticle in biological environments
The shape of nanoparticles determines their ability to interact with biological systems in nanomedicine applications. This framework simulates the shape deformation of deformable patchy nanoparticles for a broad variety of nanoparticle material properties and solution conditions. Molecular dynamics based simulated annealing is used to minimize the energy of the nanoparticle for a given set of material and solution parameters. Users can input control parameters such as the maximum surface charge, surface patch size, stretching modulus, and bending modulus, as well as control the solution ionic strength (salt concentration) changing the electrostatic drive to deform. Changing patch size parameter tunes the surface charge from a small value close to 0 to the maximum surface charge selected by the user. Suggested values of patch size are 0.25, 0.5, 0.75, 0.9 to observe a wide range of shape transitions. After running the simulation, in various output tabs, users can view the snapshots of the nanoparticle shape at various stages of the energy minimization process. Plots of the minimization of the electrostatic energy and increase in the area of the nanoparticle are also available (both these quantities are normalized by the associated values of the initial spherical conformation). Volume of the nanoparticle is conserved, representative of a finite amount of cargo. The range of charge, elasticities, and salt concentrations enable users to observe deformation into varios equilibrium shapes including bowls, hemispheres, discs, and rods, and egg-like conformations. The app is ran using hybrid MPI/OMP parallelized C++ codes and Python post-processing and app deployment. After the simulation, the following data files can be downloaded: final image of the shape of the container (PNG), movie of the entire deformation process (LAMMPS output format for viewing in Ovito or VMD), raw area data (in units of the radius of the sphere), and raw energy data including electrostatic energy variation with time (in kB T).
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 150 supported car makes and models.
some dev stuff
This project demonstrates the simulation of ROS Turtlebot3 path tracking with PID. I have generalized the pid controller to track circular or linear trajectories; Please check the video till end.
This project demonstrates the simulation of goal biased RRT. This also retrieves the shortest path from the RRT path and then smooth the path using multinomial regression based curve fitting.
This research focuses on finding the best possible NLP technique(s) for similarity calculation be-tween short Sinhala texts by utilising existing unsupervised techniques for English
The comma.ai Speed Prediction Challenge!
tb3_rescue_bot for USAR
TensorFlow Tutorial and Examples for Beginners with Latest APIs
TensorFlow Tutorials with YouTube Videos
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.