Alternatives and similar repositories for IQM-Vis

Users that are interested in IQM-Vis are comparing it to the libraries listed below

• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 3 years ago
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆22Updated 4 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆66Updated last week
• LaurenceA / infrastructure
  ☆14Updated last month
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆97Updated 3 years ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆48Updated last week
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆32Updated last month
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆100Updated 2 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆39Updated last month
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆122Updated 2 months ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆123Updated last year
• psanch21 / causal-flows
  ☆51Updated 10 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆65Updated last month
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆66Updated 7 months ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆180Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆101Updated last year
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆87Updated 3 months ago
• andres-fr / skerch
  Sketched matrix decompositions for PyTorch
  ☆70Updated last month
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆52Updated 9 months ago