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Source code related to the article "Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems" by Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, and Ariel Neufeld
Source code for reproducing results in several papers related to particle filtering
Divide and Conquer Sequential Monte Carlo
Code for our AISTATS 2020 paper "Distributionally Robust Bayesian Quadrature Optimization"
DuckDB is an in-process SQL OLAP Database Management System
A graph-relational database with declarative schema, built-in migration system, and a next-generation query language
The Python ensemble sampling toolkit for affine-invariant MCMC
Codes for NeurIPS 2021 paper "On the Equivalence between Neural Network and Support Vector Machine".
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Home for Elasticsearch examples available to everyone. It's a great way to get started.
Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"
Few Shot Bayesian Optimization
A repository to learn Galerkin method
Geometric kernels on manifolds, meshes and graphs
GoogleTest - Google Testing and Mocking Framework
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
My personal website
Hu-Fu: Efficient and Secure Spatial Queries over Data Federation
Distributed Bayesian Optimization
BOTorch implementation of Joint Entropy Search for Maximally-Informed Bayesian Optimization
Note and code for: Kalman Filtering: Theory and Practice using MATLAB by Mohinder S. Grewal and Angus P. Andrews.
Implementation of kalman filter
An Experimental Evaluation for Database Configuration Tuning
Literature suvery for hardware for analytical query. PR are welcome.
Naive implementation of Learning to Learn without Gradient Descent by Gradient Descent, Yutian Chen et al., ICML 2017
:pencil2: LeetCode solutions in C++ 11 and Python3
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.