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
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)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A collection of AWESOME things about domian adaptation
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
A curated list of prompt-based paper in computer vision and vision-language learning.
A few shot learning repository for bearing fault diagnosis.
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A few shot learning repository for bearing fault diagnosis.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
A curated list of prompt-based paper in computer vision and vision-language learning.
[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
A collection of AWESOME things about domian adaptation
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
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
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
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.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Evolve your OpenCV Image Processing filters using Cartesian Genetic Programming
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
A collection of AWESOME things about domian adaptation
A curated list of prompt-based paper in computer vision and vision-language learning.
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
A few shot learning repository for bearing fault diagnosis.
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Mixing Language Models with Self-Verification and Meta-Verification
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
Evolve your OpenCV Image Processing filters using Cartesian Genetic Programming
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A few shot learning repository for bearing fault diagnosis.
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Mixing Language Models with Self-Verification and Meta-Verification
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
A curated list of prompt-based paper in computer vision and vision-language learning.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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
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 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 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.
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
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
A curated list of prompt-based paper in computer vision and vision-language learning.
A few shot learning repository for bearing fault diagnosis.
This repository contains the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
This repository contains the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"
Evolve your OpenCV Image Processing filters using Cartesian Genetic Programming
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
A few shot learning repository for bearing fault diagnosis.
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
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
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation
Service to import data from various sources and index it in AI Search. Increases data relevance and reduces final size by 90%+. Useful for RAG scenarios with LLM. Hosted in Azure with serverless archi...
Few-shot Object Counting and Detection (ECCV 2022)
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
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 the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"
Service to import data from various sources and index it in AI Search. Increases data relevance and reduces final size by 90%+. Useful for RAG scenarios with LLM. Hosted in Azure with serverless archi...
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.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
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
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
A curated list of prompt-based paper in computer vision and vision-language learning.
Implementations of few-shot object detection benchmarks
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Official repo for the TMLR paper "Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners"
A few shot learning repository for bearing fault diagnosis.
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Evolve your OpenCV Image Processing filters using Cartesian Genetic Programming
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
(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".
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.
Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
[CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Few-shot Object Counting and Detection (ECCV 2022)
The summary of code and paper for few-shot learning in fine-grained recognition
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
[CVPR 2024] | LAMP: Learn a Motion Pattern for Few-Shot Based Video Generation