Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
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May 23, 2024 - Python
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few-shot-learning
Here are 598 public repositories matching this topic...
总结Prompt&LLM论文，开源数据&模型，AIGC应用
prompt
papers
demonstration
zero-shot-learning
few-shot-learning
prompt-tuning
in-context-learning
aigc
llm
prompt-engineering
chain-of-thought
chatgpt
instruction-tuning
llm-agent
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May 23, 2024
This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.
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May 22, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
machine-learning
deep-learning
paper
survey
style-transfer
theory
transfer-learning
papers
representation-learning
unsupervised-learning
tutorial-code
domain-adaptation
generalization
transferlearning
meta-learning
few-shot
few-shot-learning
self-supervised-learning
domain-generalization
domain-adaption
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May 22, 2024 - Python
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
machine-learning
text-to-speech
deep-learning
prompt
openai
prompt-toolkit
gpt
text-to-image
few-shot-learning
text-to-video
gpt-3
prompt-learning
prompt-tuning
prompt-engineering
prompt-generator
promptengineering
prompt-based-learning
chatgpt
chatgpt-api
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May 21, 2024 - Python
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
information-extraction
named-entity-recognition
event-detection
event-extraction
data-augmentation
relation-extraction
zero-shot-learning
few-shot-learning
knowledge-graph-construction
event-arguments
cross-domain-learning
in-context-learning
large-language-models
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May 21, 2024
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
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May 20, 2024 - Python
FSL-Mate: A collection of resources for few-shot learning (FSL).
deep-learning
paper
papers
one-shot-learning
paddlepaddle
meta-learning
few-shot
few-shot-learning
low-shot
few-shot-paper
few-shot-papers
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May 17, 2024 - Python
LLM projects
machine-translation
text-summarization
gpt
lora
bert
visual-question-answering
few-shot-learning
large-language-models
llm
prompt-engineering
flan-t5
retrieval-augmented-generation
llm-project
peft-fine-tuning-llm
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May 16, 2024 - Jupyter Notebook
The official repo for the extension of [NeurIPS'22] "APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking": https://github.com/pandorgan/APT-36K
benchmark
deep-learning
dataset
transfer-learning
pose-estimation
few-shot-learning
pre-training
pose-tracking
animal-pose-estimation
vision-transformer
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May 15, 2024 - Python
A collection of AWESOME things about domian adaptation
paper
awesome-list
transfer-learning
image-translation
optimal-transport
zero-shot-learning
adversarial-learning
domain-adaptation
few-shot-learning
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May 15, 2024
[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
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May 14, 2024 - Python
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
benchmark
machine-learning
deep-learning
pytorch
medical
dataset
medical-imaging
mnist
classification
medical-image-computing
multi-modal
3d
2d
automl
decathlon
medical-image-analysis
federated-learning
few-shot-learning
medmnist
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May 14, 2024 - Python
Study and review papers of journals and conferences.
machine-learning
natural-language-processing
reinforcement-learning
computer-vision
deep-learning
artificial-intelligence
artificial-general-intelligence
transfer-learning
lifelong-learning
few-shot-learning
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May 12, 2024
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May 11, 2024 - Python
Meta-Transformer: A meta-learning framework for scalable automatic modulation classification
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May 7, 2024 - Python
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
machine-learning
deep-learning
pytorch
image-classification
meta-learning
few-shot-learning
few-shot-recognition
few-shot-classifcation
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May 7, 2024 - Python
An Effective Topic Modeling Approach under Resource-Limited Scenarios
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May 6, 2024 - Python
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
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May 4, 2024 - Python
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
microsoft
benchmark
machine-learning
video
computer-vision
dataset
classification
object-recognition
meta-learning
few-shot-learning
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May 3, 2024 - Python
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