data-efficient 开源项目推荐（24 个）

mahmoodlab /CLAM

计算病理学开源工具- Nature BME

mit-han-lab /data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

google /lecam-gan

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

MarvinLer /tcga_segmentation

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

VITA-Group /Ultra-Data-Efficient-GAN-Training

[NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

luo-junyu /Awesome-Data-Efficient-LLM

A list of data-efficient and data-centric LLM (Large Language Model) papers. Our Survey Paper: Towards Efficient LLM Post Training: A Data-centric Perspective

layumi /AdaBoost_Seg

TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? 🤷‍♀️ Why not ! 🙆‍♀️

zjunlp /RAP

[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

Linxyhaha /DEALRec

Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)

shawn0728 /ARES

该项目在 GitHub 上没有填写描述

lizhaoliu-Lec /CG-VLM

This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.

theolepage /ssl-for-slr

Collection of self-supervised models for speaker and language recognition tasks.

sparkle-reasoning /sparkle

[NeurIPS'25] Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning

4m4n5 /CLIP-Lite

Pytorch Implementation of CLIP-Lite | Accepted at AISTATS 2023

VITA-Group /Data-Efficient-Scaling

[ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang

MichiganNLP /micromodels

Micromodels -- A framework for accurate, explainable, data efficient, and reusable NLP models.

VITA-Group /Double-Win-LTH

[ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

parshakova /GAMS-for-Data-Efficient-Learning

Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning

divyakraman /ImPosterDiffusion2024

Codebase for the paper ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models

GU-DataLab /misinformation-detection-DeMis

Resource for misinformation research on Twitter. Official resource of the paper "DeMis: Data-efficient Misinformation Detection using Reinforcement Learning", ECML-PKDD 2022