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Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence
Super Resolution 4D Flow MRI using Residual Neural Network
A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations
Use unsupervised and supervised learning to predict stocks
Alpaca Trading API integrated with backtrader
Performance analysis of predictive (alpha) stock factors
A collection of interesting new networks and tech aiming at decentralisation (in some form).
Full Python implementation of the Heston pricing algorithm developed in the article by Leif Anderson and Mark Lake in their article Robust High-Precision Option Pricing by Fourier Transforms: Contour Deformations and Double-Exponential Quadrature.
Approaching (Almost) Any Machine Learning Problem
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
Awesome Neural Architecture Search Papers
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Azure Quickstart Templates
A Python implementation of global optimization with gaussian processes.
This repository contains the Stata and UQLab scripts for the application in the article βA framework for profitability evaluation of agroforestry-based biofuel value chains: An application to pongamia in Indiaβ by Dalemans, F., Muys, B. and Maertens, M. . The files in this repository are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0 - see https://creativecommons.org/licenses/by-nc-sa/4.0/).
Implementation of the 1D blood flow equations using FEniCS
The Blur Network is a privacy-oriented peer-to-peer network, built upon the premise that privacy is incompatible with centralization. BLUR employs a custom mining algorithm called CryptoNight-Dynamic. Iterations adjust approximately once every five seconds, with a goal of maintaining CPU advantages over specialized mining hardware.
Brain Imaging Analysis Kit
Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems
Data-driven cardiovascular flow modeling: examples and opportunities
Code and data in support of publication on Cardiac PINN
β° Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Python implementation of simple CFD schemes
Direct Numerical Simulation of an incompressible turbulent channel flow with two dimensional parallelization
Chaospy - Toolbox for performing uncertainty quantification.
Chaotic attractors (Lorenz, Rossler, Rikitake etc.) and their features and properties
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.