balandat Goto Github PK
Name: Max Balandat
Type: User
Company: @Meta
Bio: Research Scientist Manager @ Meta
Twitter: MaxBalandat
Location: San Francisco Bay Area
Name: Max Balandat
Type: User
Company: @Meta
Bio: Research Scientist Manager @ Meta
Twitter: MaxBalandat
Location: San Francisco Bay Area
AEPsych is a tool for adaptive experimentation in psychophysics and perception research, built on top of gpytorch and botorch.
A machine learning platform for managing sequential experimentation
Bayesian optimization in PyTorch
No-Regret Algorithms on a Continuum
Implementations of ideas from recent papers
Easy to maintain open source documentation websites.
A React framework for building text editors.
A highly efficient implementation of Gaussian Processes in PyTorch
A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
A LinearOperator implementation for PyTorch
The fundamental package for scientific computing with Python.
Package for simulating behavior of consumers subject to dynamic electricity pricing.
Deep universal probabilistic programming with Python and PyTorch
Coverage plugin for pytest.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A framework for building native apps with React.
React Native releases
Type hints support for the Sphinx autodoc extension
PyTorch tutorials.
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.