Alternatives and similar repositories for NeurIPS_2022-Generative_Hyper_Representations:

Users that are interested in NeurIPS_2022-Generative_Hyper_Representations are comparing it to the libraries listed below

• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆55Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 5 months ago
• harryjo97 / RDLM
  Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".
  ☆23Updated 2 weeks ago
• wy1iu / butterfly-oft
  Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"
  ☆77Updated 11 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆82Updated last year
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆19Updated 4 months ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆24Updated 9 months ago
• zkx06111 / ReDiffusion
  ☆15Updated last year
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆60Updated 2 years ago
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆36Updated 2 weeks ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• yossigandelsman / second_order_lens
  Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"
  ☆35Updated 4 months ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• imagination-research / LCSC
  [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
  ☆14Updated last month
• stephane-rivaud / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆12Updated last year
• wy1iu / OPT
  Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.
  ☆19Updated 3 years ago
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 3 years ago
• KingJamesSong / RankFeat
  NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension
  ☆19Updated last month
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆31Updated 7 months ago
• HelmholtzAI-FZJ / flex_gen
  ☆17Updated 2 months ago
• Model-GLUE / Model-GLUE
  ☆13Updated 7 months ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆18Updated 10 months ago
• NVlabs / TCM
  Codebase of Truncated Consistency Models (ICLR 2025)
  ☆19Updated 2 months ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆87Updated last year
• ML-GSAI / RADD
  Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"
  ☆35Updated last month
• liruiw / Dec-SSL
  Understanding Self-Supervised Learning in a non-IID Setting
  ☆20Updated 2 years ago
• LeapLabTHU / Deep-Incubation
  Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)
  ☆90Updated 2 years ago
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• xavihart / PDM-Pure
  PDM-based Purifier
  ☆20Updated 4 months ago