j-wilson

Imperial College of London

Pinned Repositories

gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
Language:Python3.7k 56 1.3k563
GPflowPILCO
A modern implementation of PILCO based on GPflow.
Language:Python11 1 26
GPflowSampling
Code for efficiently sampling functions from GP(flow) posteriors
Language:Python70 3 017
MaximizingAcquisitionFunctions
Code for "Maximizing Acquisition Functions for Bayesian Optimization"
Language:Jupyter Notebook13 2 13
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:Python0 0 00
trieste
A Bayesian optimization toolbox built on TensorFlow
Language:Python0 0 00
trieste_stopping
Stopping rules for Bayesian optimization using Trieste
Language:Jupyter Notebook3 1 01
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:Python88k 1.8k 49.6k23.6k
probability
Probabilistic reasoning and statistical analysis in TensorFlow
Language:Jupyter Notebook4.3k 155 1.4k1.1k
torch7
http://torch.ch
Language:C9k 623 7332.4k

j-wilson/GPflowSampling
Code for efficiently sampling functions from GP(flow) posteriors
Language:Python70 3 017
j-wilson/MaximizingAcquisitionFunctions
Code for "Maximizing Acquisition Functions for Bayesian Optimization"
Language:Jupyter Notebook13 2 13
j-wilson/GPflowPILCO
A modern implementation of PILCO based on GPflow.
Language:Python11 1 26
j-wilson/trieste_stopping
Stopping rules for Bayesian optimization using Trieste
Language:Jupyter Notebook3 1 01
j-wilson/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:Python0 0 00
j-wilson/trieste
A Bayesian optimization toolbox built on TensorFlow
Language:Python0 0 00