zero-shot-learning

A collection of AWESOME things about domian adaptation

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

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

A curated list of papers, code and resources pertaining to zero shot learning

汇聚【Python应用】【Python实训】【Python技术分享】等等

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

A concise but complete implementation of CLIP with various experimental improvements from recent papers

PromptCLUE, 全中文任务支持零样本学习模型

A curated list of prompt-based paper in computer vision and vision-language learning.

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

Code for "Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance"

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Zero and Few shot named entity & relationships recognition

pCLUE: 1000000+多任务提示学习数据集

CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

Crosslingual Generalization through Multitask Finetuning