Adrien Corenflos (AdrienCorenflos)

AdrienCorenflos

Geek Repo

Company:Aalto University

Location:Finland

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

Twitter:@AdrienCorenflos

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Adrien Corenflos's repositories

particle_mala

Gradient-informed particle MCMC methods

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aux-ssm-samplers

Auxiliary Kalman and particle Gibbs samplers for Feynman-Kac (state-space) models.

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blackjax

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

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coupled_rejection_sampling

Coupled Rejection Sampler

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journal-club

A (potential) collection of notebooks used for the journal club presentations

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parallel-Hilbert

JAX implementation of Hilbert sorting

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AdrienCorenflos

Profile README

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aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

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djwhacks

Test repo for sharing code snippets and learning about git

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fp-ssc-course

An introduction to functional programming for scalable statistical computing

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garimasingh128

Most popular GitHub Readme template to create your awesome introduction Readme on GitHub 🚀

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geomloss

Geometric loss functions between point clouds, images and volumes

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

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JSL

Jax SSM Library

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logreg

Bayesian inference for a logistic regression model in various languages

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minimal

Minimal is a Jekyll theme for GitHub Pages

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parallel-gps

GPFlow based implementation of temporal parallellization of state space GPs

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particles-1

Sequential Monte Carlo in python

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POT

POT : Python Optimal Transport

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probability

Probabilistic reasoning and statistical analysis in TensorFlow

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sqrt-parallel-smoothers

A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well as efficient gradient rules for computing gradients of required quantities (such as the pseudo-loglikelihood of the system).

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ssm-experimental

Experimental folder for state space modeling code

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ssm-jax

State Space Models library in JAX

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tempered-smc-optimization

Tempered optimization small project

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torchsort

Fast, differentiable sorting and ranking in PyTorch

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v238

Proceedings of AISTATS 2024

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