Name: Thomas Pinder
Type: User
Company: Amazon
Bio: Machine Learning Scientist @ Amazon. Interested in Gaussian processes and approximate inference.
Twitter: thomaspinder94
Location: Amsterdam, Netherlands
Blog: https://tpin.uk
I'm an Applied Scientist at Amazon working on causal analysis. Previously, I completed a PhD in Statistics titled Developments in Gaussian processes with applications to climate science and network problems. I am interested in Gaussian processes, network models, and causal inference.
30daymapchallenge
ai_chess
A MCTS based approach to solving chess puzzles using UCT, Thompson Sampling and Epsilon-Greedy
airquality
Modelling the health effects of air quality
arch
A Julia package for Gaussian Processes
augmentedgaussianprocesses.jl
Gaussian Process package based on data augmentation, sparsity and natural gradients
awesome-gaussian-processes
A curated list of resources for learning Gaussian Processes
awesome-jax
JAX - A curated list of resources https://github.com/google/jax
baobab
Deep Learning Indaba applications and selection web-app.
barycentric_fusion
bayesian_benchmarks
A community repository for benchmarking Bayesian methods
bayesian_uncertainty_adversaries
Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs
betterposter-latex-template
LaTeX Template for Mike Morrison's #betterposter
classifier_robustness
Testing the robustness of various classifiers in text classification tasks whereby noise is present.
commute_forecaster
Web App to pull down and distribute commuting conditions for the next day.
computationaloptimaltransport
datasets
distrax
dotfiles
doubly-stochastic-gps
error_crawler
fraud_detection
general_latex_files
geometrickernels
Geometric kernels on manifolds, meshes and graphs
geopandas
Python tools for geographic data
gp-site-source
gpconvcnp
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
gpflow
Gaussian processes in TensorFlow
gpviz
A Python package for visualising GPJax Gaussian processes.
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
graph-gaussian-processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
