Alternatives and similar repositories for Teleportation-Optimization:

Users that are interested in Teleportation-Optimization are comparing it to the libraries listed below

• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆28Updated last year
• UCSC-VLAA / CRATE-alpha
  This repository includes the official implementation our paper "Scaling White-Box Transformers for Vision"
  ☆48Updated 10 months ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆56Updated 2 years ago
• zju-vipa / training_free_model_merging
  This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
  ☆29Updated last year
• LeapLabTHU / Deep-Incubation
  Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)
  ☆90Updated 2 years ago
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• Westlake-AI / SEMA
  Switch EMA: A Free Lunch for Better Flatness and Sharpness
  ☆26Updated last year
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• roymiles / VeLoRA
  [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections
  ☆20Updated 6 months ago
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆53Updated last year
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆128Updated 5 months ago
• VITA-Group / ViT-Anti-Oversmoothing
  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…
  ☆80Updated last year
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆104Updated last year
• nblt / F-SAM
  [CVPR 2024] Friendly Sharpness-Aware Minimization
  ☆33Updated 5 months ago
• mwalmer-umd / vit_analysis
  ☆34Updated last year
• AngusDujw / SAF
  ☆35Updated 2 years ago
• OliverRensu / DeepMIM
  ☆52Updated 2 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆82Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆58Updated last week
• LINs-lab / GMem
  [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models
  ☆33Updated last month
• maorash / NeRN
  ☆47Updated last year
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆58Updated last year
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆33Updated last year
• zzp1012 / LLFC
  [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"
  ☆18Updated last year
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 3 years ago
• wjxts / RegularizedBN
  ☆21Updated 2 years ago
• shoaibahmed / blockwise_ssl
  Repository containing code for blockwise SSL training
  ☆29Updated 6 months ago
• CownowAn / DaSS
  Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
  ☆24Updated last year