Pinned Repositories
obspy
ObsPy: A Python Toolbox for seismology/seismological observatories.
airflow-tutorial
🐍💨 Airflow tutorial for PyCon 2019
anki
Anki for desktop computers
arduino_project
ashfall_forecasts
beamforming
nsampling
Vanilla Nested Sampling for Python and C++
sc3-playback
Scripts and instructions to run offline playbacks in SeisComP3
seismic_record_section
Interactive seismic record section running in the browser
spectroscopy
A datamodel for volcanic gas chemistry data
yannikbehr's Repositories
yannikbehr/sc3-playback
Scripts and instructions to run offline playbacks in SeisComP3
yannikbehr/ashfall_forecasts
yannikbehr/seismic_record_section
Interactive seismic record section running in the browser
yannikbehr/arduino_project
yannikbehr/Bayesian-Filtering-and-Smoothing
Companion python code for the book Bayesian Filtering and Smoothing by Simo Särkkä
yannikbehr/BMKG_ObsPy_workshop
yannikbehr/cachier
Persistent, stale-free, local and cross-machine caching for Python functions.
yannikbehr/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
yannikbehr/dash
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
yannikbehr/DashApp
Wine Dash App
yannikbehr/dashboard_intro
A quick tour of packages to build dashboards in Python
yannikbehr/Deep-Learning-for-Time-Series-Data-Cookbook
B21145 - Deep Learning for Time Series Data Cookbook
yannikbehr/FEHM
Finite Element Heat and Mass Transfer Code
yannikbehr/gh_actions_local_runner_test
yannikbehr/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
yannikbehr/HMMs
Continuous-time Hidden Markov Model
yannikbehr/Misc_Tools_for_SeisComP_and_SED-ETHZ_EEW_Systems
yannikbehr/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
yannikbehr/pumahu
yannikbehr/py-trello
Python API wrapper around Trello's API
yannikbehr/PyFEHM
Easy scripting environment for FEHM
yannikbehr/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
yannikbehr/rtd-tutorial
yannikbehr/rtd_tutorial
yannikbehr/scatnet
Learnable scattering network in TensorFlow
yannikbehr/smart_ideas_2023
yannikbehr/VIP
Variational Full-waveform Inversion and Tomography
yannikbehr/Whakaari-probabilistic-eruption-forecasting
yannikbehr/XCM
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
yannikbehr/yannikbehr.github.io