Gabriel Stechschulte (GStechschulte)

GStechschulte

Geek Repo

Company:Luzern University of Applied Science

Location:Luzern, Switzerland

Home Page:https://gstechschulte.github.io

Twitter:@__gsteck__

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Gabriel Stechschulte's repositories

filterjax

Bayesian filters and smoothers in JAX.

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books-with-code

A repository containing the code for exercises and figures from various books.

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wake_effect

Network analysis as a proxy for wake effects and wind farm design

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algorithms-optimization

Code for the book "Algorithms for Optimization"

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arviz

Exploratory analysis of Bayesian models with Python

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bambi

BAyesian Model-Building Interface (Bambi) in Python.

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blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

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environment-sensing

Collect and store environment data from the sense hat sensor connected to a reComputer J1010 single-board computer.

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go-interpreter

Code for "Writing an Interpreter in Go" by Thorsten Ball

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tinydb

Writing a lightweight log-structured-merge (LSM) storage engine from scratch

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1brc-go

The 1BRC (one billion row challenge) in Go.

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arxiv_mongo

Inserting arXiv data into MongoDB and writing queries to perform a simple analysis

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autodidact

Applied Statistics, Linear Algebra, Science and Technology through trial and error in programming

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BART

BART experiments

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bartz

A JAX implementation of BART (Bayesian Additive Regression Trees)

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Bayesian_Returns

Using Bayesian inference to incorporate a forward looking prior to compute the uncertainty of equity returns and volatility.

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bayeux

State of the art inference for your bayesian models.

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botorch

Bayesian optimization in PyTorch

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dynamax

State Space Models library in JAX

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edge-computing

Using Rust and OpenCV on the reComputer J10110 to perform object tracking using a Kalman Filter

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effective-c

Code for the book "Effective C: An Introduction to Professional Programming"

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energy-efficiency

Code, works in progress, and supplemental information related to my master's thesis

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formulae

Formulas for mixed-effects models in Python

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numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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sampling-book

Tutorials and sampling algorithm comparisons

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surrogate-posteriors

Optimize a black-box function with a variety of probabilistic surrogate models.

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VictoriaMetrics

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

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