Alternatives and similar repositories for mlgm:

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

• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆41Updated 2 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• LuEE-C / FIGR
  Few-shot Image Generation with Reptile
  ☆64Updated 6 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 4 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• sangwoomo / GOLD
  Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
  ☆17Updated 5 years ago
• fmeier / online-meta-learning
  ☆26Updated 6 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• zilongzheng / CoopNets
  Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching
  ☆27Updated 6 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• Lifelong-ML / Mendez2020Compositional
  ☆13Updated 3 years ago
• M-Elfeki / GDPP
  Generator loss to reduce mode-collapse and to improve the generated samples quality.
  ☆34Updated 5 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 4 years ago
• henrikmarklund / arm
  ☆82Updated last year
• TomVeniat / ProgressiveNeuralNetworks.pytorch
  Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework
  ☆52Updated 5 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• ssp573 / Contrastive-Predictive-Coding
  ☆26Updated 6 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago
• musikisomorphie / swd
  unsupervised video and image generation
  ☆58Updated 4 years ago
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 5 years ago
• DarthSid95 / RumiGANs
  Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."
  ☆32Updated 3 years ago
• jshe / wasserstein-2
  ☆13Updated 6 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 weeks ago