Alternatives and similar repositories for cfg-gan:

Users that are interested in cfg-gan are comparing it to the libraries listed below

• x-zho14 / ProbMask-official
  Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
  ☆30Updated 3 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆55Updated 3 years ago
• ashaw596 / meta_architecture_search
  ☆21Updated 5 years ago
• Chavdarova / LAGAN-Lookahead_Minimax
  Source code for "Taming GANs with Lookahead–Minmax", ICLR 2021.
  ☆15Updated 3 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
• FANG-Xiaolin / pytorch-CoopNets
  pytorch implementation for CoopNet
  ☆27Updated 5 years ago
• MeckyWu / subspace-match
  ☆16Updated 6 years ago
• cwein3 / all-layer-margin-opt
  AMO algorithm from the following paper: https://arxiv.org/abs/1910.04284.
  ☆8Updated 5 years ago
• neale / HyperGAN
  Generative Model for Neural Networks
  ☆24Updated 4 years ago
• AilsaF / RS-GAN
  ☆29Updated 4 years ago
• jhjacobsen / fully-invertible-revnet
  ☆31Updated 4 years ago
• ruiqigao / recovery_likelihood
  ☆50Updated 4 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• MadryLab / spatial-pytorch
  Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).
  ☆26Updated 5 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆21Updated 8 months ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• hujiecpp / InformationCompetingProcess
  The project page of paper: Information Competing Process for Learning Diversified Representations [NeurIPS 2019]
  ☆18Updated 5 years ago
• prolearner / hyper-representation
  This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"
  ☆30Updated 6 years ago
• locuslab / projected_sinkhorn
  ☆87Updated 8 months ago
• taufikxu / FD-ScoreMatching
  The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching
  ☆11Updated 2 years ago
• JonasGeiping / fullbatchtraining
  Training vision models with full-batch gradient descent and regularization
  ☆37Updated 2 years ago
• LMescheder / TheNumericsOfGANs
  This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".
  ☆46Updated 6 years ago
• dilinwang820 / adaptive-f-divergence
  A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
  ☆20Updated 6 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• zhuchen03 / VIBNet
  Compressing Neural Networks using the Variational Information Bottleneck
  ☆65Updated 2 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆86Updated 5 years ago
• chenwydj / learning-to-learn-by-gradient-descent-by-gradient-descent
  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
  ☆67Updated last year
• baofff / BiSM
  ☆12Updated 4 years ago