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Rémi Louf / Twitter / Linkedin / Mastodon

I am a statistician (some say data scientist) and software developer. I am particularly interested in Bayesian statistics and generative modeling, MCMC samplers and symbolic programming.

I am the author of Blackjax and a core member of Aesara.

Rémi Louf's Projects

aehmc icon aehmc

An experimental HMC implementation in Aesara

aemcmc icon aemcmc

Miscellaneous MCMC samplers in Aesara

aenn icon aenn

A(e)N(eural)N(etwork) library in Aesara

aeppl icon aeppl

Tools for an Aesara-based PPL.

aesara icon aesara

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

aex icon aex

Sampling with Blackjax on Aesara

awesome-llm-json icon awesome-llm-json

Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.

birdland icon birdland

A battle-tested recommendation library written in Go.

blackjax icon blackjax

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

dask icon dask

Parallel computing with task scheduling

ddoxa icon ddoxa

Visualisation et statistiques pour raconter la politique et l'économie

etuples icon etuples

Python S-expression emulation using tuple-like objects.

jupyter-book icon jupyter-book

Create beautiful, publication-quality books and documents from computational content.

kanren icon kanren

An extensible, lightweight relational/logic programming DSL written in pure Python

mcx icon mcx

Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.

mcx-infer icon mcx-infer

[Experimental] Bayesian machine learning with MCX.

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