erocarrera
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(experimental) modification of gistemp4.0 to run on latest python. Utilities to generate, inspect an approximate an ERSSTv5 SBBX.
Automated Bayesian model discovery for time series data
Fetch forecasts from prediction markets/forecasting platforms to make them searchable. Integrate these forecasts into other services.
Wolfram Language (aka Mathematica) paclet that provides a notebooks style with OpenAI interaction cells.
Wolfram Language connection to GPT, DALL-E, and more through the OpenAI API.
Bayesian inference and posterior analysis for Python
erocarrera / rethinking
Forked from rmcelreath/rethinkingStatistical Rethinking course and book package
erocarrera / arviz
Forked from arviz-devs/arvizExploratory analysis of Bayesian models with Python
pefile is a Python module to read and work with PE (Portable Executable) files
Break the linear presentation of Jupyter Notebooks with sticky cells!
Exploratory analysis of Bayesian models with Python
Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby
A Mathematica package to interact with CmdStan
Inference case studies in jupyter
Render probabilistic graphical models using matplotlib
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Graphical analysis of structural causal models / graphical causal models.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Automatically exported from code.google.com/p/pythonika
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Generate MAEC XML from Ero Carrera's pefile output