dme65

Research Scientist at Meta

@FacebookBoulder, CO

Pinned Repositories

gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
Language:Python3.4k 59 1.3k543
botorch
Bayesian optimization in PyTorch
Language:Jupyter Notebook1 0 01
Ensemble-Bayesian-Optimization
Code repository for Ensemble Bayesian Optimization
Language:Python1 1 00
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Language:Python1 0 00
pySOT
Surrogate Optimization Toolbox for Python
Language:Jupyter Notebook203 22 4052
SOT
C++11 implementation of surrogate based optimization algorithms
Language:C++17 3 38
trieste
A Bayesian optimization toolbox built on TensorFlow
Language:Python1 0 00
Ax
Adaptive Experimentation Platform
Language:Python2.3k 69 669295
botorch
Bayesian optimization in PyTorch
Language:Jupyter Notebook3k 53 478377
TuRBO
Language:Python170 7 450

dme65's Repositories

dme65/pySOT
Surrogate Optimization Toolbox for Python
Language:Jupyter Notebook203 22 4052
dme65/SOT
C++11 implementation of surrogate based optimization algorithms
Language:C++17 3 38
dme65/botorch
Bayesian optimization in PyTorch
Language:Jupyter Notebook1 0 01
dme65/Ensemble-Bayesian-Optimization
Code repository for Ensemble Bayesian Optimization
Language:Python1 1 00
dme65/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Language:Python1 0 00
dme65/trieste
A Bayesian optimization toolbox built on TensorFlow
Language:Python1 0 00
dme65/Ax
Adaptive Experimentation Platform
Language:Jupyter Notebook0 1 00
dme65/bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Language:Python0 0 00
dme65/Casmopolitan
[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
Language:Python0 0 00
dme65/cornell-ssw.github.io
Home page of the Scientific Software Club at Cornell
Language:HTML0 2 00
dme65/ludwig
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Language:Python0 0
dme65/ludwig-docs
Ludwig's documentation
Language:CSS0 0
dme65/marp
Markdown presentation writer, powered by Electron.
Language:CoffeeScript1 0
dme65/matlab_wrapper
MATLAB wrapper for Python
Language:Python1 0
dme65/POAP
Plumbing for Optimization with Asynchronous Parallelism
Language:Python1 0
dme65/pyro
Deep universal probabilistic programming with Python and PyTorch
Language:Python0 0
dme65/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:C++0 0
dme65/Spearmint
Spearmint Bayesian optimization codebase
Language:Python0 0
dme65/ssw_matlab
Language:Matlab2 0
dme65/ssw_sphinx
Language:Python2 0
dme65/webpage
My Cornell webpage
Language:HTML1 0