Alternatives and similar repositories for distribution_augmentation

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

• AlexiaJM / AdversarialConsistentScoreMatching
  Code for paper "Adversarial score matching and improved sampling for image generation"
  ☆124Updated 2 years ago
• facebookresearch / GAN-optimization-landscape
  code to reproduce the empirical results in the research paper
  ☆37Updated 4 years ago
• openai / LHOPT
  Learned Hyperparameter Optimizers
  ☆60Updated 4 years ago
• AilsaF / RS-GAN
  ☆32Updated 4 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆129Updated last year
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆108Updated 4 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆79Updated 5 years ago
• teddykoker / image-gpt
  PyTorch Implementation of OpenAI's Image GPT
  ☆260Updated 2 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆23Updated 5 years ago
• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆449Updated 2 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• kzl / universal-computation
  Official codebase for Pretrained Transformers as Universal Computation Engines.
  ☆247Updated 3 years ago
• adjidieng / PresGANs
  Prescribed Generative Adversarial Networks
  ☆143Updated 5 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• lucidrains / glom-pytorch
  An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…
  ☆194Updated 4 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• ShangyuanTong / PairGAN
  ☆22Updated 5 years ago
• cwkx / GON
  Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
  ☆159Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆115Updated 3 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆105Updated 3 years ago
• mit-han-lab / neurips-micronet
  [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
  ☆41Updated 4 years ago
• uber-research / deconstructing-lottery-tickets
  ☆143Updated 2 years ago
• google-research / fitvid
  ☆66Updated 4 years ago