Stars
The download methods of Vision-language Continual Pretraining Dataset P9D.
[ToMM2023] - AMC: Adaptive Multi-expert Collaborative Network for Text-guided Image Retrieval
[TCSVT2023] - ESA: External Space Attention Aggregation for Image-Text Retrieval
[ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
A collection list of AIGC detection related papers.
C2P-CLIP-DeepfakeDetection
Gradient-based refined class activation map for weakly supervised object localization
[CVPR 2024] The official repo for Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
LLaVA-NeXT-Image-Llama3-Lora, Modified from https://github.com/arielnlee/LLaVA-1.6-ft
An open-source implementation for training LLaVA-NeXT.
[ICLR 2025] A trinity of environments, tools, and benchmarks for general virtual agents
Dataset for GAN-Generated Images Detection
Code for the paper: Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
One UI is all done with chatgpt web, midjourney, gpts,suno,luma,runway,viggle,flux,ideogram,realtime,pika,udio; Simultaneous support Web / PWA / Linux / Win / MacOS platform
Distribute and run LLMs with a single file.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.