bwconrad / vit-finetune

Related projects: ⓘ

• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆104Updated 6 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆71Updated this week
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆94Updated last year
• xinke-wang / ModaVerse
  [CVPR2024] ModaVerse: Efficiently Transforming Modalities with LLMs
  ☆19Updated 2 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆40Updated 2 weeks ago
• themrzmaster / git-re-basin-pytorch
  Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
  ☆69Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆79Updated last year
• TsinghuaC3I / SoRA
  The source code of the EMNLP 2023 main conference paper: Sparse Low-rank Adaptation of Pre-trained Language Models.
  ☆62Updated 6 months ago
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆86Updated last year
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆46Updated 2 years ago
• Rose-STL-Lab / Teleportation-Optimization
  [ICLR 2024] Improving Convergence and Generalization Using Parameter Symmetries
  ☆26Updated 3 months ago
• JieShibo / PETL-ViT
  [ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass
  ☆167Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆102Updated last year
• aim-uofa / LoRAPrune
  ☆27Updated last month
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆112Updated 4 months ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆163Updated 11 months ago
• wutaiqiang / MoSLoRA
  ☆54Updated 2 months ago
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆167Updated 7 months ago
• OPTML-Group / Robust-MoE-CNN
  [ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Hua…
  ☆39Updated last year
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆248Updated 8 months ago
• GeorgeCazenavette / glad
  ☆103Updated last year
• AngusDujw / SAF
  ☆31Updated last year
• ArthurLeoM / peft-givens
  source code of (quasi-)Givens Orthogonal Fine Tuning integrated to peft lib
  ☆12Updated this week
• TomerRonen34 / mixed-resolution-vit
  ☆48Updated 11 months ago
• sdc17 / UPop
  [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
  ☆94Updated 10 months ago
• calpt / awesome-adapter-resources
  Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
  ☆168Updated 4 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆77Updated last year
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆87Updated 3 months ago
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆38Updated last year
• Jin-Ying / Multi-Level-Logit-Distillation
  Code for 'Multi-level Logit Distillation' (CVPR2023)
  ☆49Updated last year