Alternatives and similar repositories for ibebm

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

• bpucla / latent-space-EBM-prior
  ☆37Updated 5 years ago
• shmpanski / t-vae
  Transformer Variational Autoencoder experiment
  ☆50Updated 7 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 4 years ago
• cunningham-lab / igr
  ☆30Updated 5 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆33Updated 6 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆104Updated 3 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 4 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆28Updated 8 years ago
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 4 years ago
• siddsax / Normalizing_Flows
  Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770
  ☆14Updated 7 years ago
• tolgabirdal / PHDimGeneralization
  Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
  ☆33Updated 10 months ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 5 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 11 months ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 5 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated 2 years ago
• yuPeiyu98 / Latent-Diffusion-EBM
  [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
  ☆67Updated 3 years ago
• zlinao / Variational-Transformer
  Variational Transformers for Diverse Response Generation
  ☆82Updated last year
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• BorealisAI / CP-VAE
  On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975
  ☆27Updated 5 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆33Updated 8 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆66Updated 5 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆67Updated 3 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated 2 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• giannisdaras / smyrf
  [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".
  ☆50Updated 2 years ago
• sodawater / T-CVAE
  Transformer-Based Conditioned Variational Autoencoder for Story Completion
  ☆95Updated 5 years ago