manuelhaussmann Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ai-deadlines

:alarm_clock: AI conference deadline countdowns

aistats2024

May 2 - May 4, Valencia, Spain

bda_course_aalto

Bayesian Data Analysis course at Aalto

bedl

Bayesian Evidential Deep Learning with PAC Regularization

bnsde

Reference Implementation for Bayesian Neural SDEs

bpnpac

Bayesian Prior Networks with PAC Training

conference-acceptance-rate

Acceptance rates for the major AI conferences

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

handsonscicomp

Hands on scientific computing program

inferno

A utility library around PyTorch

lvm_singlearm

Estimating treatment effects from single-arm trials via latent-variable modeling

manuelhaussmann.github.io

neural-process-family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

papis

Powerful and highly extensible command-line based document and bibliography manager.

pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

pyro

Deep universal probabilistic programming with Python and PyTorch

ral

Deep Active Learning with Adaptive Acquisition.

references

Feel free to clone and add interesting machine learning papers/references in the appropriate category.

rethinking

Statistical Rethinking course and book package

scicomp-docs

Aalto scientific computing guide: former Triton user guide + more info

slides

Slides from meetup presentations.

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

united-against-covid.github.io

vbp

vgpmil

Variational Bayesian Multiple Instance Learning with Gaussian Processes