lkampoli Goto Github PK
Name: Lorenzo Campoli
Type: User
Company: The University of Melbourne
Bio: Research Fellow @UniMelb
Location: Melbourne
Name: Lorenzo Campoli
Type: User
Company: The University of Melbourne
Bio: Research Fellow @UniMelb
Location: Melbourne
This program solves incompressible Navier Stokes equations for a 2D lid driven cavity flow using a non-linear multigrid method.
Kinetic Monte Carlo with multiple time scales and sensitivity analysis
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
The MUlticomponent Thermodynamic And Transport library for IONized gases in C++
Multi-level Wavelet Convolutional Neural Networks
MXM: Discovering Multiple, Statistically-Equivalent Signatures. Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. MXM stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
A simple implementation of our paper
Additional turbulence models for OpenFOAM
n2p2 - A Neural Network Potential Package
This project will be fully updated before the event (IEEE WCCI)
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
Supporting code for ICML 2020 submission: Non-autoregressive time-series methods for stable parametric surrogate models
A solver for Navier-Stokes Equation using Finite Difference method for the Cavity flow problem.
A system for assigning and grading notebooks
our classic
Proxy app for Nek5000
Spectral-element solver for Maxwell's equations, drift-diffusion equations, and more.
Visualizer for neural network, deep learning, and machine learning models
Neural network visualizer
A parallel neural net microframework
Code samples for my book "Neural Networks and Deep Learning"
Neural Ordinary Differential Equation
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
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.