Trending repositories for topic few-shot-learning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
A collection of AWESOME things about domian adaptation
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
[CVPR 2024] | LAMP: Learn a Motion Pattern for Few-Shot Based Video Generation
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A collection of AWESOME things about domian adaptation
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A collection of AWESOME things about domian adaptation
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A few shot learning repository for bearing fault diagnosis.
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
An index of algorithms for few-shot learning/meta-learning on graphs
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A few shot learning repository for bearing fault diagnosis.
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
An index of algorithms for few-shot learning/meta-learning on graphs
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
[CVPR 2024] | LAMP: Learn a Motion Pattern for Few-Shot Based Video Generation
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
A collection of AWESOME things about domian adaptation
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
A few shot learning repository for bearing fault diagnosis.
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation
Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).
CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
An index of algorithms for few-shot learning/meta-learning on graphs
Official PaddlePaddle Implementation of Few-Shot Font Generation by Learning Fine-Grained Local Styles (FsFont)
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
A collection of AWESOME things about domian adaptation
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
[CVPR 2024] | LAMP: Learn a Motion Pattern for Few-Shot Based Video Generation
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A curated list of prompt-based paper in computer vision and vision-language learning.
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
Implementations of few-shot object detection benchmarks
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
A few shot learning repository for bearing fault diagnosis.
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".
[CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
[CVPR 2024] | LAMP: Learn a Motion Pattern for Few-Shot Based Video Generation
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
An index of algorithms for few-shot learning/meta-learning on graphs
[ICRA2024] Few-Shot Panoptic Segmentation With Foundation Models
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
The summary of code and paper for few-shot learning in fine-grained recognition