Alternatives and similar repositories for oxford-poster

Users that are interested in oxford-poster are comparing it to the libraries listed below

• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆268Updated 5 months ago
• djsutherland / arxiv-collector
  A little Python script to collect LaTeX sources for upload to the arXiv.
  ☆372Updated 6 months ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆95Updated 4 years ago
• mcmanigle / OxThesis
  LaTeX template for an Oxford University thesis
  ☆206Updated 2 years ago
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆160Updated last year
• rafaelbailo / betterposter-latex-template
  LaTeX Template for Mike Morrison's #betterposter
  ☆313Updated 6 years ago
• izmailovpavel / understandingbdl
  ☆251Updated 3 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• rgeirhos / academic-cv-publications
  Generate a customised list of publications for your LaTeX CV using BibTeX entries.
  ☆102Updated 3 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 6 years ago
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆112Updated 4 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆39Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆231Updated 5 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆21Updated 4 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• yobibyte / prettyplots
  Design your own matplotlib stylefile interactively
  ☆214Updated 4 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆46Updated 3 months ago
• google-deepmind / mc_gradients
  ☆172Updated last year
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆100Updated 2 months ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆42Updated 5 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated 2 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆217Updated last month
• acmi-lab / cmu-10721-philosophy-machine-intelligence
  Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
  ☆262Updated 2 years ago
• egstatsml / arxivsearch
  Pulls papers from arXiv on a weekly basis
  ☆30Updated 2 years ago
• eberharf / cfl
  ☆19Updated 8 months ago
• google-research / ott
  ☆214Updated 3 years ago