st--

Pinned Repositories

GPflow
Gaussian processes in TensorFlow
Language:Python1.9k 76 812434
AbstractGPs.jl
Abstract types and methods for Gaussian Processes.
Language:Julia232 9 9721
GPflux
Deep GPs built on top of TensorFlow/Keras and GPflow
Language:Python121 13 2924
annotate-equations
LaTeX package and annotated examples for annotating equations using TikZ.
Language:TeX484 6 2218
annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
Language:TeX2 1 00
interactive-gp-visualization
Interactive visualization of Gaussian processes
Language:Svelte165 3 823
LinearRegression.jl
Simple & fast linear regression in Julia
Language:Julia22 2 70
vbpp
Variational Bayes for Point Processes: implementation of Lloyd et al. (2015) on top of GPflow
Language:Python10 1 13
VFF
Variational Fourier Features
Language:Python2 1 01

st--'s Repositories

st--/annotate-equations
LaTeX package and annotated examples for annotating equations using TikZ.
Language:TeX484 6 2218
st--/interactive-gp-visualization
Interactive visualization of Gaussian processes
Language:Svelte165 3 823
st--/vbpp
Variational Bayes for Point Processes: implementation of Lloyd et al. (2015) on top of GPflow
Language:Python10 1 13
st--/beamer-lecture-template-example
Template structure for consistent LaTeX/Beamer slides&handouts
Language:TeX1 2 00
st--/tikzplotlib
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
Language:Python1 1 0
st--/Aalto-pedagogy-intro--learning-feedback
Learning material on "Feedback" for Aalto Pedagogy Intro course
Language:HTML2 0
st--/ai-deadlines
:alarm_clock: AI conference deadline countdowns
st--/algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
Language:Python1 0
st--/blacktex
:black_heart: Cleans up your LaTeX files.
1 0
st--/dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Language:Python1 0
st--/Distributions.jl
A Julia package for probability distributions and associated functions.
Language:Julia1 0
st--/DynamicObjects.jl
Language:Julia1 0
st--/ellis-summerschool
Language:Jupyter Notebook0 0
st--/Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
Language:Julia1 0
st--/GPJax
Gaussian processes in JAX.
Language:Python1 0
st--/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Language:Python1 0
st--/HypercubeTransform.jl
Language:Julia1 0
st--/KNOWNET
st--/modeling-policy-interventions
Language:Python1 0
st--/obsidian-tasks
Task management for the Obsidian knowledge base.
Language:TypeScript1 0
st--/online_vargp
Online variational GPs
Language:Python1 0
st--/orthogonal-additive-gaussian-processes
Light-weighted code for Orthogonal Additive Gaussian Processes
Language:Python1 0
st--/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Language:Python0 0
st--/ray-tune-slurm-demo
Testing ray tune with slurm batch submission and optuna and wandb
Language:Python0 0
st--/reproducible-research-project-template
Template for writing a reproducible academic paper
Language:TeX1 0
st--/svelte-collapse
Language:JavaScript1 0
st--/svelte-collapsible
A collection of high-level Svelte components designed for expanding and collapsing content.
Language:JavaScript1 0
st--/trieste
A Bayesian optimization toolbox built on TensorFlow
Language:Python1 0
st--/v89
Proceedings of AISTATS 2019
Language:TeX1 0
st--/vargp
Variational Auto-Regressive Gaussian Processes for Continual Learning
Language:Python1 0