Alternatives and similar repositories for GAN-optimization-landscape

Users that are interested in GAN-optimization-landscape are comparing it to the libraries listed below

• AilsaF / RS-GAN
  ☆32Updated 5 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 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 5 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 5 years ago
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆116Updated 3 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 6 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆40Updated 5 years ago
• AlexiaJM / AdversarialConsistentScoreMatching
  Code for paper "Adversarial score matching and improved sampling for image generation"
  ☆124Updated 2 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆21Updated 3 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆22Updated 5 years ago
• yedidh / glann
  Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"
  ☆28Updated 6 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆129Updated last year
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆41Updated 5 years ago
• minyoungg / overparam
  ☆42Updated 2 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆22Updated 3 years ago
• ShangyuanTong / PairGAN
  ☆22Updated 5 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆60Updated 6 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆67Updated 6 years ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆27Updated 6 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• prolearner / hypertorch
  ☆126Updated last year