Alternatives and similar repositories for Vector-Quantized-Autoencoders

Users that are interested in Vector-Quantized-Autoencoders are comparing it to the libraries listed below

• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆38Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 5 years ago
• NingMiao / InteL-VAEs
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆19Updated 4 years ago
• snu-mllab / DisentanglementICML19
  "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
  ☆21Updated 6 years ago
• iamyuanchung / VQ-APC
  Vector Quantized Autoregressive Predictive Coding (VQ-APC)
  ☆37Updated 4 years ago
• L0SG / NanoFlow
  PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
  ☆66Updated 4 years ago
• ICLR-DAP / Deep-Audio-Prior
  Anonymous ICLR Submission
  ☆14Updated 5 years ago
• 1ytic / pytorch-edit-distance
  Levenshtein edit-distance on PyTorch and CUDA
  ☆95Updated 2 years ago
• swasun / VQ-VAE-Images
  PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
  ☆21Updated 6 years ago
• wnhsu / ResDAVEnet-VQ
  Official codes for the paper "Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech"
  ☆27Updated 3 years ago
• rosinality / imputer-pytorch
  Implementation of Imputer: Sequence Modelling via Imputation and Dynamic Programming in PyTorch
  ☆58Updated 5 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆71Updated 6 years ago
• aliutkus / spe
  Relative Positional Encoding for Transformers with Linear Complexity
  ☆64Updated 3 years ago
• 2prime / OpenBlackBox
  ☆12Updated 5 years ago
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆44Updated 6 years ago
• harvardnlp / cascaded-generation
  Cascaded Text Generation with Markov Transformers
  ☆129Updated 2 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆28Updated 7 years ago
• gitabcworld / skiprnn_pytorch
  A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"
  ☆81Updated 6 years ago
• bobchennan / sparse_image_warp_pytorch
  Pytorch implementation of sparse_image_warp and an example of GoogleBrain's SpecAugment is given: A Simple Data Augmentation Method for A…
  ☆23Updated 6 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 4 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago
• DCASE-REPO / dcase2019_task2_baseline
  ☆27Updated 6 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆68Updated 4 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• dtsbourg / ff-attention
  PyTorch implementation of the Feed-Forward Attention Mechanism.
  ☆18Updated 7 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆59Updated 6 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆73Updated 2 years ago