Alternatives and similar repositories for NeRN

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

• wy1iu / butterfly-oft
  Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"
  ☆79Updated last year
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆155Updated 3 years ago
• JindongJiang / latent-slot-diffusion
  Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"
  ☆67Updated last year
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 3 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated 2 years ago
• KingJamesSong / DifferentiableSVD
  A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…
  ☆78Updated last year
• MingSun-Tse / smilelogging
  Python logging package for easy reproducible experimenting in research
  ☆40Updated last month
• roymiles / VeLoRA
  [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections
  ☆21Updated 10 months ago
• ziplab / Mesa
  This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".
  ☆120Updated 3 years ago
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆37Updated last year
• Rajhans0 / Poly_INR
  Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"
  ☆37Updated 2 years ago
• Rose-STL-Lab / Teleportation-Optimization
  [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries
  ☆29Updated last year
• GeorgeCazenavette / glad
  ☆114Updated 2 years ago
• ziplab / EcoFormer
  [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
  ☆74Updated 2 years ago
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆175Updated 2 years ago
• mit-han-lab / sparsevit
  [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
  ☆73Updated last year
• mwalmer-umd / vit_analysis
  ☆36Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 2 years ago
• yossigandelsman / rosetta_neurons
  Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"
  ☆31Updated last year
• karttikeya / minREV
  A simple minimal implementation of Reversible Vision Transformers
  ☆125Updated last year
• UCDvision / PRANC
  ☆23Updated 2 years ago
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated 2 years ago
• lukemelas / fixed-point-diffusion-models
  ☆54Updated last year
• HSG-AIML / NeurIPS_2022-Generative_Hyper_Representations
  Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".
  ☆16Updated last year
• MingSun-Tse / WritingTips
  "Good scientific writing is not a matter of life and death; it is much more serious than that."
  ☆12Updated 4 months ago
• Wuziyi616 / SlotDiffusion
  Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models
  ☆91Updated last year
• xxxnell / spatial-smoothing
  (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…
  ☆78Updated 3 years ago
• fawazsammani / awesome-mlp-mixer
  Transformers w/o Attention, based fully on MLPs
  ☆94Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆88Updated last year
• zhengli97 / DM-KD
  Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)
  ☆48Updated last year