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jindongwang/transferlearning

A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.

14.3K
Experimental
Python
Machine Learning
Python
#transfer-learning#domain-adaptation#domain-generalization

promptslab/Awesome-Prompt-Engineering

This repository provides a curated collection of resources for Prompt Engineering with a focus on large language models like ChatGPT and GPT-3.

5.5K
Stable
Python
LLM Frameworks
Prompt Engineering
Python
#chatgpt#gpt-3#prompt-engineering

zhaoxin94/awesome-domain-adaptation

A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.

5.4K
Stable
ML Ops
Tutorials & Courses
#domain-adaptation#transfer-learning#machine-learning

DSXiangLi/DecryptPrompt

This GitHub repository is a collection of AI-related papers, datasets, and applications focused on prompt engineering and large language models.

3.4K
Active
LLM Frameworks
Prompt Engineering
#ai#language-models#prompt-engineering

tata1661/FSL-Mate

A collection of resources for few-shot learning (FSL) in Python, useful for vibe coders building AI-powered applications.

1.8K
Stable
Python
Few-shot Learning
Tutorials & Courses
PaddlePaddle
#few-shot-learning#meta-learning#one-shot-learning

sudharsan13296/Awesome-Meta-Learning

A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.

1.6K
Archived
LLM Frameworks
Tutorials & Courses
#meta-learning#few-shot-learning#one-shot-learning

hendrycks/test

Measuring Massive Multitask Language Understanding with GPT-3 and few-shot learning techniques.

1.6K
Archived
Python
LLM Frameworks
Fine-tuning
Python
#few-shot-learning#gpt-3#muti-task

MedMNIST/MedMNIST

Standardized datasets for 2D and 3D biomedical image classification

1.3K
Archived
Python
PyTorch
#biomedical-image-classification#medical-image-analysis#image-processing

sicara/easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

1.3K
Archived
Python
Computer Vision
Tutorials & Courses
PyTorch
#deep-learning#few-shot-learning#few-shot-classification

oscarknagg/few-shot

A repository for few-shot learning machine learning projects, focused on meta-learning and PyTorch.

1.3K
Archived
Python
ML Ops
Fine-tuning
PyTorch
#few-shot-learning#meta-learning#computer-vision

sudharsan13296/Hands-On-Meta-Learning-With-Python

A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.

1.2K
Archived
Jupyter Notebook
ML Ops
Tutorials & Courses
Tensorflow
#deep-learning#meta-learning#few-shot-learning

ucbdrive/few-shot-object-detection

A PyTorch implementation of few-shot object detection benchmarks for AI and computer vision researchers.

1.2K
Archived
Python
Computer Vision
Testing
PyTorch
#few-shot-learning#object-detection#computer-vision

floodsung/LearningToCompare_FSL

PyTorch code for a CVPR 2018 paper on few-shot learning, a technique for training ML models with limited data.

1.1K
Archived
Python
Meta-Learning
PyTorch
#few-shot-learning#meta-learning#pytorch

RL-VIG/LibFewShot

A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.

1.1K
Stable
Python
Fine-tuning
Meta-learning
PyTorch
#few-shot-learning#image-classification#meta-learning

quqxui/Awesome-LLM4IE-Papers

A curated collection of papers on generative information extraction using large language models.

1.1K
Archived
LLM Frameworks
Information Extraction
#large-language-models#information-extraction#event-extraction

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