Alternatives and similar repositories for RegularizationAnimation

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

• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• tanelp / confviews
  Generate bird's-eye views of conference proceedings.
  ☆24Updated 6 months ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆49Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆61Updated 2 years ago
• orybkin / sigma-vae
  Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"
  ☆29Updated 3 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆51Updated 4 years ago
• AilsaF / RS-GAN
  ☆31Updated 4 years ago
• NVlabs / High-res-disentanglement-datasets
  Datasets for new state-of-the-art challenge in disentanglement learning
  ☆45Updated 5 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 4 years ago
• NVlabs / LACE
  A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.
  ☆73Updated 3 years ago
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆36Updated 2 months ago
• nshepperd / ode-gan-pytorch
  ☆15Updated 4 years ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆53Updated 2 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 3 years ago
• unixpickle / vae-textures
  Texture mapping with variational auto-encoders
  ☆40Updated 3 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 2 years ago
• taldatech / deep-latent-particles-pytorch
  [ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"
  ☆26Updated last year
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• CUAI / BetterSetRepresentations
  [NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)
  ☆30Updated 4 years ago
• agopal42 / permakey
  Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" (https://arx…
  ☆9Updated 5 months ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 2 years ago
• choidami / sst
  ☆49Updated 4 years ago
• tuero / perturbations-differential-pytorch
  Differentiable Optimizers with Perturbations in Pytorch
  ☆68Updated 4 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago