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'Random Features for Large-Scale Kernel Machines' by Ali Rahimi and Benjamin Recht. The code within provides a detailed walkthrough of the techniques introduced in the paper, demonstrating how to efficiently implement large-scale kernel machines using random features for dimensionality reduction in high-dimensional data.
This repository implements the 2022 paper 'Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data' by Tanaka et al.
2D incompressible fluid solver implemented in Taichi.
The most cited deep learning papers
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Basic variogram application in streamlit
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep latent-variable kernel learning
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
Codebase for MCE-VAE project
Python + Jax implementation of the nonparametric Volterra kernels model
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
Consolidated view of all your chess games from chess.com, lichess, grandmaster games or custom pgn.
Clean version of opm-data without reference results
Interactive Jupyter notebooks for solving PDEs using numerical methods. Features tutorials on the heat and wave equations with the Newton-Raphson method. Ideal for learning and teaching applied mathematics.
A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Easily runnable on Google Colab.
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.