GithubHelp home page GithubHelp logo

Lorenzo Campoli's Projects

largevis icon largevis

An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

lbann icon lbann

Livermore Big Artificial Neural Network Toolkit

learning_airfoils icon learning_airfoils

Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"

lecture_10_vki_piv_ptv_ls icon lecture_10_vki_piv_ptv_ls

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.

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

legolas icon legolas

Legolas: a modern tool for MHD spectroscopy

libcester icon libcester

A robust header only unit testing framework for C and C++ programming language. Support function mocking, memory leak detection, crash report.

libensemble icon libensemble

A library to coordinate the concurrent evaluation of dynamic ensembles of calculations.

libermate icon libermate

DEPRECATED use https://github.com/victorlei/smop instead LiberMate - A MATLAB to Python (SciPy/NumPy) Translator

libmep icon libmep

Multi Expression Programming - complex library for data analysis, symbolic regression, classification

libre-converter icon libre-converter

Converting LibreOffice documents to other formats. like PDF and stuff. yeah.

librom icon librom

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

lightgbm icon lightgbm

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.

lila icon lila

A unified benchmark for math reasoning

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

lime-1 icon lime-1

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

literature-review icon literature-review

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

livelossplot icon livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

lo-shot icon lo-shot

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

loki icon loki

Simulation tools for plasma chemistry

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.