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
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Updated
Apr 14, 2024 - Python
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]
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
汇聚【Python应用】【Python实训】【Python技术分享】等等
A concise but complete implementation of CLIP with various experimental improvements from recent papers
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
[ICCV 2023] A latent space for stochastic diffusion models
Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Zero and Few shot named entity & relationships recognition
Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Awesome Domain Adaptation Python Toolbox
[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)
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