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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
Post-processing package for CFD simulations I run for my PhD
:exclamation: This is a read-only mirror of the CRAN R package repository. prabclus — Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data. Homepage: https://www.unibo.it/sitoweb/christian.hennig/en/
A VGG practical on convolutional neural networks
DL course co-developed by YSDA, HSE and Skoltech
Predictive collective variable discovery with deep Bayesian models for atomistic systems.
PRIME is a modeling framework designed for the "real-time" characterization and forecasting of partially observed epidemics
Enhance low resolution image using Convolutional Neural Nets. My solution to European Space Agency's one of its many contest.
Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"
Video Instance Segmentation with a Propose-Reduce Paradigm (ICCV 2021)
Feature Selection Stability and Double cross validation of protein ranks and signatures
Parallel, Unstructured, Computational fluid dynamics code (multiphysics)
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
This holds examples for the IXPUG2015 workshop and are meant to run on Babbage at NERSC
PTNN: Data-driven Turbulence Modeling
Papers with code. Sorted by stars. Updated weekly.
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.
An open-source, low-code machine learning library in Python
Public home of pycorels, the python binding to CORELS
Go to https://pycsp.github.io/ for more recent work on PyCSP
A collection of tools based on Computational Singular Perturbation for the analysis of chemically reacting systems
PyCSP - maintenance release of the 0.3.0 version
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Library for diffusion maps
Python Dynamic Mode Decomposition
A simple and easy-to-use implementation of a Genetic Algorithm library in Python
🚂 Python API for Emma's Markov Model Algorithms 🚂
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.