nairouz

nairouz's Stars

• UCDvision/NOLA

  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"

  Language:Python472

• yxli2123/LoSparse

  Language:Python445

• VijayLingam95/SVFT

  Language:Shell191

• iboing/CorDA

  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models (NeurIPS 2024)

  Language:Python301

• Chaos96/fourierft

  1216

• KohakuBlueleaf/LyCORIS

  Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

  Language:Python2.2k146

• Zeju1997/oft

  Official implementation of "Controlling Text-to-Image Diffusion by Orthogonal Finetuning".

  Language:Python27914

• DaShenZi721/HRA

  Language:Python142

• GraphPKU/PiSSA

  PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)

  Language:Jupyter Notebook2489

• BorealisAI/flora-opt

  This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

  Language:Python573

• McGill-NLP/polytropon

  Language:Python507

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k867

• calpt/awesome-adapter-resources

  Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

  Language:Python1689

• NVlabs/DoRA

  [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

  Language:Python58034

• marcellodebernardi/loss-landscapes

  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

  Language:Python29552

• JieShibo/PETL-ViT

  [ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass

  Language:Python1688

• ZhangYuanhan-AI/NOAH

  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.

  Language:Python21911

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16k1.6k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.4k668

• huawei-noah/Efficient-NLP

  Language:Python8412

• stan-anony/derivative_free_lora_rank

  Language:Python151

• QingruZhang/AdaLoRA

  AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

  Language:Python25828

• ecnu-sea/SEA

  SEA is an automated paper review framework capable of generating comprehensive and high-quality review feedback with high consistency for papers, thereby assisting researchers in improving the quality of their work.

  Language:Python436

• abdouskamel/HYPER-MGE

  Code for the paper "A Geometric Perspective for High-Dimensional Multiplex Graphs", with Python and PyTorch

  Language:Python1

• MaxZanella/CLIP-LoRA

  An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

  Language:Python838

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25k3.2k

• uestclbh/PC-Conv

  Language:Python8

• ChenJY-Count/PolyGCL

  PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"

  Language:Python81

• yueliu1999/Awesome-Deep-Group-Recommendation

  Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).

  234

• nairouz/DynAE

  Language:Python3011