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Official Pytorch implementation of "Learnable Gated Temporal Shift Module for Deep Video Inpainting. Chang et al. BMVC 2019." and the FVI dataset in "Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN, Chang et al. ICCV 2019"
Code for the blog post
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
Forward/Inverse Toolkit
Generative Adversarial Networks - Physics Informed
Generalized Kolmogorov Equation (GKE) for turbulent channels and other plane geometries
a set of utilities for visualization and conversion of scientific data in the free, portable HDF5 format
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Option pricing function for the Heston model based on the implementation by Christian Kahl, Peter Jäckel and Roger Lord. Includes Black-Scholes-Merton option pricing and implied volatility estimation. No Financial Toolbox required.
Bachelor degree project paper
Hidden Fluid Mechanics
Hidden physics models: Machine learning of nonlinear partial differential equations
A brazen two-column theme for Jekyll.
An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.
Immersed Boundary Method
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
A set of useful Jupyter Notebooks explaining the usage of iexfinance in detail.
Python SDK for IEX Cloud
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Direct Numerical Simulation of homogeneous isotropic turbulence (CPL)
The Jenkins plugin for MATLAB® enables you to easily run your MATLAB tests and generate test artifacts in formats such as JUnit, TAP, and Cobertura code coverage reports.
Calibration of parameters of Heston and Bates models using Markov Chain Monte Carlo (MCMC)
Keras implementations of Generative Adversarial Networks.
Keras Temporal Convolutional Network.
Implementation of the Kicked Windkessel model for systemic blood pressure in humans (http://arxiv.org/abs/1007.2229))
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.