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
2nd order Godunov solver for 2d Euler equations written in CUDA Fortran - Deprecated - see instead https://github.com/pkestene/euler2d_kokkos
Evolutionary & genetic algorithms for Julia
An exact riemann problem solver written in julia. This program which generates exact solutions for the hydrodynamics Euler equations using Toro solver.
files and instructions for creating and using example containers from the sylabs.io blog
Example on how to use sockets to transfer data from Fortran to Python and viceversa
Generate realistic human images that do not exist in reality using GAN
A library for efficient similarity search and clustering of dense vectors.
Official github repository for Fast Artificial Neural Network Library (FANN)
Fast local density clustering for low-dimensional data
The fastai book, published as Jupyter Notebooks
Code for a faster K-means clustering heuristic
Fast Large-Scale Spectral Clustering via Explicit Feature Mapping
A fast implementation of spectral clustering on GPU-CPU Platform
An amortized approach for calculating local Shapley value explanations
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Fully Convolutional DenseNets for semantic segmentation.
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
:exclamation: This is a read-only mirror of the CRAN R package repository. FeaLect — Scores Features for Feature Selection
Python notebooks for the tutorial paper on feature selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Feature Engineering Made Easy, published by Packt
Feature selector is a tool for dimensionality reduction of machine learning datasets
A comparative study of feature selection methods for kinetic processes and transport properties in state-to-state and multi-temperature formulations
Feature reduction using genetic algorithm
An open source python library for automated feature engineering
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.