Trending repositories for topic 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
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Implementations of few-shot object detection benchmarks
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
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
Implementations of few-shot object detection benchmarks
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
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
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
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
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Implementations of few-shot object detection benchmarks
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
[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
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
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.
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.
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)
Implementations of few-shot object detection benchmarks
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
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)
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.
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Implementations of few-shot object detection benchmarks
[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
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
Official repo for the paper "Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners"
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
A few shot learning repository for bearing fault diagnosis.
Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".
[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
[CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)
[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
Mixing Language Models with Self-Verification and Meta-Verification
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
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
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Official repo for the paper "Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners"
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
A collection of AWESOME things about domian adaptation
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
A curated list of prompt-based paper in computer vision and vision-language learning.
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
Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)
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 collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
Implementations of few-shot object detection benchmarks
A few shot learning repository for bearing fault diagnosis.
Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Mixing Language Models with Self-Verification and Meta-Verification
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)
[CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).
FEWSAM Few-shot Segmentation tool based on Segment Anything
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.