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This repository is the code of paper 'DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark'.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
🚀 KIMI AI 长文本大模型逆向API白嫖测试【特长：长文本解读整理】，支持高速流式输出、智能体对话、联网搜索、长文档解读、图像OCR、多轮对话，零配置部署，多路token支持，自动清理会话痕迹。
Making Protein Design accessible to all via Google Colab!
🔄 mpv player 播放器折腾记录 windows conf ； 中文注释配置 快速帮助入门 ； mpv-lazy 懒人包 win10 x64 config
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…
A Collection of Papers and Codes for CVPR2024/ECCV2024 AIGC
A collection of awesome text-to-image generation studies.
collection of diffusion model papers categorized by their subareas
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Examples and guides for using the OpenAI API
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
https://www.shoufachen.com/Awesome-Diffusion-Transformers/
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
Diffusion Model-Based Image Editing: A Survey (arXiv)
A collection of papers on diffusion models for 3D generation.
Curated list of awesome resources for the Stable Diffusion AI Model.
[Arxiv] A Survey on Video Diffusion Models
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
A curated list of awesome Machine Learning frameworks, libraries and software.
This repo includes ChatGPT prompt curation to use ChatGPT better.
A curated list of image inpainting and video inpainting papers and resources
A high-throughput and memory-efficient inference and serving engine for LLMs