Alternatives and similar repositories for pmae

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

• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆95Updated 2 years ago
• ethanbar11 / ssm_2d
  More dimensions = More fun
  ☆22Updated 11 months ago
• nreHieW / minARImageGen
  Autoregressive Image Generation
  ☆32Updated 2 weeks ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 3 months ago
• LeslieTrue / CPP
  This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.
  ☆28Updated 2 years ago
• hyperevolnet / Terminator
  The official repository for HyperZ⋅Z⋅W Operator Connects Slow-Fast Networks for Full Context Interaction.
  ☆38Updated 2 months ago
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".
  ☆40Updated 7 months ago
• yossigandelsman / rosetta_neurons
  Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"
  ☆30Updated last year
• samar-khanna / ExPLoRA
  Official code repository for paper: "ExPLoRA: Parameter-Efficient Extended Pre-training to Adapt Vision Transformers under Domain Shifts"
  ☆31Updated 8 months ago
• s-sahoo / MuLAN
  [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models
  ☆21Updated 6 months ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• WalBouss / LeGrad
  ☆74Updated 8 months ago
• LabForComputationalVision / memorization_generalization_in_diffusion_models
  ☆46Updated last year
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆45Updated last year
• ml-jku / MIM-Refiner
  A Contrastive Learning Boost from Intermediate Pre-Trained Representations
  ☆42Updated 9 months ago
• leabogensperger / generative-segmentation-sdf
  ☆13Updated 9 months ago
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆55Updated 10 months ago
• alhojel / visual_task_vectors
  ☆37Updated 11 months ago
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆51Updated 8 months ago
• divyam3897 / I2M2
  I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)
  ☆20Updated 7 months ago
• james-oldfield / muMoE
  [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
  ☆32Updated 8 months ago
• google-research / silc
  [ECCV 2024] Official Release of SILC: Improving vision language pretraining with self-distillation
  ☆44Updated 8 months ago
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆28Updated last year
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆52Updated last year
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆66Updated 9 months ago
• mandt-lab / PSLD
  Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models
  ☆30Updated 7 months ago
• Adamdad / neumeta
  NeuMeta transforms neural networks by allowing a single model to adapt on the fly to different sizes, generating the right weights when n…
  ☆43Updated 7 months ago
• k1rezaei / Text-to-concept
  ☆33Updated last year
• ml-jku / MAE-CT
  ☆32Updated last year