Alternatives and similar repositories for weight-selection

Users that are interested in weight-selection are comparing it to the libraries listed below

• bfshi / TOAST
  Official code for "TOAST: Transfer Learning via Attention Steering"
  ☆189Updated last year
• lucidrains / soft-moe-pytorch
  Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
  ☆309Updated 4 months ago
• Arnav0400 / ViT-Slim
  Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”
  ☆250Updated last year
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 10 months ago
• kaiyuyue / nxtp
  [CVPR'24 Highlight] PyTorch Implementation of Object Recognition as Next Token Prediction
  ☆180Updated 3 months ago
• TomerRonen34 / mixed-resolution-vit
  ☆51Updated last year
• sdc17 / UPop
  [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
  ☆105Updated 7 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆55Updated 11 months ago
• mu-cai / matryoshka-mm
  Matryoshka Multimodal Models
  ☆112Updated 6 months ago
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆46Updated last year
• gstoica27 / ZipIt
  A framework for merging models solving different tasks with different initializations into one multi-task model without any additional tr…
  ☆303Updated last year
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• fkodom / soft-mixture-of-experts
  PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)
  ☆75Updated last year
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆105Updated last year
• naver-ai / augsub
  [CVPR 2025] Official PyTorch implementation of MaskSub "Masking meets Supervision: A Strong Learning Alliance"
  ☆45Updated 4 months ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆88Updated last year
• gstoica27 / KnOTS
  Model Merging with SVD to Tie the KnOTS [ICLR 2025]
  ☆60Updated 4 months ago
• zju-vipa / training_free_model_merging
  This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
  ☆31Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆127Updated 3 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆103Updated last week
• snu-mllab / LayerMerge
  Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML 2024)
  ☆30Updated 11 months ago
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆98Updated 10 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• naver-ai / model-stock
  Model Stock: All we need is just a few fine-tuned models
  ☆119Updated 10 months ago
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆259Updated last year
• LeapLabTHU / EfficientTrain
  1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundatio…
  ☆222Updated 11 months ago
• DAMO-NLP-SG / Inf-CLIP
  [CVPR 2025 Highlight] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for C…
  ☆263Updated 6 months ago
• layer6ai-labs / fusemix
  Data-Efficient Multimodal Fusion on a Single GPU
  ☆66Updated last year
• FreedomIntelligence / LongLLaVA
  LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture
  ☆207Updated 6 months ago
• VITA-Group / AsViT
  [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…
  ☆76Updated 3 years ago