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
  ☆92Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆137Updated 2 months ago
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆23Updated 7 months ago
• ALRhub / hydra_list_sweeper
  Implementation of a list sweeper: instead of the cartesian product, sweep over the zipped list
  ☆25Updated 5 months ago
• LaurenceA / infrastructure
  ☆15Updated 2 weeks ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆59Updated 4 years ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆104Updated 2 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆71Updated 9 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆128Updated 2 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• Feuermagier / Beyond_Deep_Ensembles
  Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
  ☆22Updated last year
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last month
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆18Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆41Updated last week
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆52Updated 7 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆69Updated 3 months ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆104Updated 2 years ago
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆225Updated last year
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆35Updated 3 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆34Updated 4 months ago
• EU-EMERGE / archetype-computing-adaptive-system
  Archetype Computing / Adapting System for the EMERGE project.
  ☆13Updated 4 months ago
• lebrice / torch_jax_interop
  Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!
  ☆34Updated 4 months ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated 2 months ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year