#Zero-shot-learning
Showing 20 of 20 repositories tagged #zero-shot-learning, ranked by stars
总结Prompt&LLM论文，开源数据&模型，AIGC应用
Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
A curated list of papers, code and resources pertaining to zero shot learning
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
A concise but complete implementation of CLIP with various experimental improvements from recent papers
汇聚【Python应用】【Python实训】【Python技术分享】等等
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
Plug-and-play document AI with zero-shot models.
Learning to compose soft prompts for compositional zero-shot learning.
Zero-shot image tagging by hierarchical semantic embedding
General-Purpose Neural Networks for Sentence Boundary Detection
Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
OpenAI CLIP converted to Tensorflow 2/Keras
A large-scale database of malicious software images
Examples of Prompt Engineering, Zero Shot Learning, Few Shot Learning and Retrieval Augmented Generation (RAG) using Hugging Face, Databricks and MLflow
Source Code for ECAI 2024 Paper "Leveraging Foundation Models for Zero-Shot IoT Sensing"
On Bilingual Lexicon Induction with Large Language Models (EMNLP 2023). Keywords: Bilingual Lexicon Induction, Word Translation, Large Language Models, LLMs.
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking