thomaspinder
Machine Learning Scientist @ Amazon. Interested in Gaussian processes and approximate inference.
AmazonAmsterdam, Netherlands
Pinned Repositories
GPJax
Gaussian processes in JAX.
GaussianProcesses.jl
A Julia package for Gaussian Processes
AI_chess
A MCTS based approach to solving chess puzzles using UCT, Thompson Sampling and Epsilon-Greedy
bayesian_uncertainty_adversaries
Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs
GPViz
A Python package for visualising GPJax Gaussian processes.
NERCExercises
SpectralMixtureGPFlow
StatMLExercises
SteinGP
Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.
thomaspinder's Repositories
thomaspinder/SteinGP
Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.
thomaspinder/GPViz
A Python package for visualising GPJax Gaussian processes.
thomaspinder/NERCExercises
thomaspinder/SpectralMixtureGPFlow
thomaspinder/StatMLExercises
thomaspinder/HierarchicalGPFlow
Hierarchical Gaussian process in GPFlow
thomaspinder/30DayMapChallenge
thomaspinder/awesome-gaussian-processes
A curated list of resources for learning Gaussian Processes
thomaspinder/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
thomaspinder/barycentric_fusion
thomaspinder/bayesian_benchmarks
A community repository for benchmarking Bayesian methods
thomaspinder/ComputationalOptimalTransport
thomaspinder/datasets
thomaspinder/distrax
thomaspinder/dotfiles
thomaspinder/Doubly-Stochastic-GPs
thomaspinder/general_latex_files
thomaspinder/GeometricKernels
Geometric kernels on manifolds, meshes and graphs
thomaspinder/gpconvcnp
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
thomaspinder/GPflow
Gaussian processes in TensorFlow
thomaspinder/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
thomaspinder/Graph-Gaussian-Processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
thomaspinder/latex_template
thomaspinder/lgcp.jl
Log-Gaussian Cox Proccesses in Julia
thomaspinder/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
thomaspinder/recipe-scrapers
Python package for scraping recipes data
thomaspinder/SparseHGP
Gpflow implementation of a Sparse Hierarchical Gaussian Process (SHGP)
thomaspinder/thomaspinder
thomaspinder/tpml
thomaspinder/treeo
A small library for creating and manipulating custom JAX Pytree classes