zero-shot-learning

13 projects share this GitHub topic

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🧬 Members

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Awesome-LLM4IE-Papers

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion…

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing…

cycle-diffusion

[ICCV 2023] A latent space for stochastic diffusion models

Crosslingual Generalization through Multitask Finetuning

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without…

Text-to-Image-Synthesis

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

🔗 Related families

few-shot-learning 14 in-context-learning 20 instruction-tuning 35 semantic-segmentation 60 robustness 8 generative-models 38 aigc 83 chain-of-thought 29

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