Alternatives and similar repositories for auxinash

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

• Yuantian013 / E2GAN
  [ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, W…
  ☆41Updated 3 years ago
• shiwj16 / SSINet
  A PyTorch implementation of SSINet.
  ☆16Updated 4 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• TonyLianLong / VAI-ReinforcementLearning
  [CVPR 2021] Official Implementation of VAI: Unsupervised Visual Attention and Invariance for Reinforcement Learning
  ☆27Updated 3 years ago
• eleGAN23 / QVAE
  Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
  ☆31Updated 3 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆27Updated 3 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• alinlab / oreo
  ☆23Updated 3 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆33Updated 4 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 2 years ago
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆29Updated 2 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆41Updated 2 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆24Updated 4 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 3 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• thuml / StochNorm
  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  ☆23Updated 3 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆76Updated 4 years ago
• chrysts / generative_preconditioner
  ☆11Updated 4 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆75Updated 4 years ago
• lywang3081 / AFEC
  AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)
  ☆27Updated last year
• huang50213 / AIM-Fewshot-Continual
  ☆29Updated 3 years ago
• Tpap / TNet
  TensorFlow implementation of the Traversal Network (TNet) architecture, presented in "Hard-Attention for Scalable Image Classification" (…
  ☆15Updated 3 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• MiaoyunZhao / GANmemory_LifelongLearning
  ☆50Updated 4 years ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆31Updated 2 years ago
• DarthSid95 / RumiGANs
  Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."
  ☆32Updated 3 years ago
• DuaneNielsen / keypoints
  Unsupervised learning of Object Landmarks through Conditional Image Generation
  ☆47Updated 5 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• usc599resl / mlgm
  Meta learning for generative models.
  ☆16Updated 5 years ago