Alternatives and similar repositories for blog-theme

Users that are interested in blog-theme are comparing it to the libraries listed below

• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆263Updated 5 months ago
• greydanus / mnist1d
  A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
  ☆227Updated 10 months ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆54Updated 4 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago
• damek / gd-lean
  ☆24Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆67Updated 3 months ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• aradha / recursive_feature_machines
  ☆56Updated 3 months ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆243Updated 4 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆88Updated 5 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year
• jax-ml / coix
  Inference Combinators in JAX
  ☆50Updated 2 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆123Updated 4 years ago
• google-deepmind / mc_gradients
  ☆169Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆199Updated 8 months ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆40Updated 4 years ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆276Updated 2 weeks ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• mrtzh / unbuch
  Compile markdown into an html and pdf book based on pandoc.
  ☆195Updated 3 years ago
• mitmath / 18338
  ☆102Updated last month
• google-deepmind / neural_testbed
  ☆192Updated last month
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated this week
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆188Updated 8 months ago
• jejjohnson / research_journal
  My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
  ☆34Updated 3 years ago
• darrenjw / fp-ssc-course
  An introduction to functional programming for scalable statistical computing
  ☆75Updated last year