Alternatives and similar repositories for Implicit-Competitive-Regularization:

Users that are interested in Implicit-Competitive-Regularization are comparing it to the libraries listed below

• adjidieng / PresGANs
  Prescribed Generative Adversarial Networks
  ☆143Updated 4 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆123Updated 6 months ago
• f-t-s / CGD
  This repository contains the Julia code for the paper "Competitive Gradient Descent"
  ☆23Updated 5 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 3 years ago
• facebookresearch / GAN-optimization-landscape
  code to reproduce the empirical results in the research paper
  ☆35Updated 3 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆143Updated 8 months ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated last year
• srush / parallax
  ☆153Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆92Updated 3 years ago
• yaroslavvb / kfac_pytorch
  ☆132Updated 7 years ago
• riannevdberg / sylvester-flows
  ☆178Updated 5 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆106Updated 4 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 3 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
  ☆161Updated 3 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆83Updated 3 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆106Updated 2 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 4 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆123Updated 3 years ago
• larsmaaloee / BIVA
  BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling
  ☆29Updated 5 years ago
• uber-research / metropolis-hastings-gans
  ☆115Updated last year
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆93Updated 2 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆154Updated 6 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆74Updated 3 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆103Updated 4 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆103Updated last year
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆183Updated last year
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 5 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆136Updated 5 years ago