Alternatives and similar repositories for infrastructure:

Users that are interested in infrastructure are comparing it to the libraries listed below

• mattclifford1 / IQM-Vis
  ☆25Updated 3 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆62Updated 2 months ago
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆83Updated 3 months ago
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆22Updated 2 months ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated last year
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆85Updated 3 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 3 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆22Updated 2 years ago
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆41Updated 2 years ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆60Updated 4 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 11 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• benrhodes26 / tre_code
  ☆23Updated 3 years ago
• ratschlab / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 3 years ago
• jongharyu / neural-svd
  ☆16Updated 6 months ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆31Updated 3 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆34Updated 3 weeks ago
• eberharf / cfl
  ☆18Updated this week
• aleximmer / BNN-predictions
  Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
  ☆17Updated 2 years ago
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆42Updated last year
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆57Updated last month
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆89Updated last year
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• piomonti / carefl
  Code for "Causal autoregressive flows" - AISTATS, 2021
  ☆44Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 2 years ago
• anirudh9119 / neural_production_systems
  ☆15Updated 4 years ago