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
LAVD is a tool to detect Rotationally coherent Lagrangian vortices automatically in 2D/3D unsteady flows
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
Livermore Big Artificial Neural Network Toolkit
Learning to Learn in TensorFlow
Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"
This repository contains all the exercises linked to the Lecture 10 'Statistical Treatment, Fourier and Modal Decompositions' given in the framework of the VKI Lecture series 'Fundamentals and recent advances in Particle Image Velocimetry and Lagrangian Particle Tracking', held at the von Karman Institute from November 15 to November 18 2021.
Oxford Deep NLP 2017 course
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Legolas: a modern tool for MHD spectroscopy
LHC Machine Learning Hackathon
A robust header only unit testing framework for C and C++ programming language. Support function mocking, memory leak detection, crash report.
A library to coordinate the concurrent evaluation of dynamic ensembles of calculations.
DEPRECATED use https://github.com/victorlei/smop instead LiberMate - A MATLAB to Python (SciPy/NumPy) Translator
Multi Expression Programming - complex library for data analysis, symbolic regression, classification
Converting LibreOffice documents to other formats. like PDF and stuff. yeah.
Model reduction library with an emphasis on large scale parallelism and linear subspace methods
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A unified benchmark for math reasoning
Lime: Explaining the predictions of any machine learning classifier
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
Code for all experiments.
Methods for Testing Linear Separability
Some useful links
litreviewer is a Python package (collection of few Python modules) that helps researchers perform crawling, scraping, collecting (corpus), analysing web based data. Read companion monograph available from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3856547
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
Simulation tools for plasma chemistry
Hosting personal webpage
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.