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University of Science and Technology of China
- Hefei, China
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A font classifier model that can classify with 96 percent accuracy. Train with 15k images and validated with 8k.
Train a model to classify different fonts by self generating training data
Deep Learning to classify fonts
Classify 10 different font style
Recognize font from image using DeepFont technique.
In this project, you'll train a convolutional neural network to classify and recognize different categories of fonts. We'll be using the dataset of 100 categories of fonts to train our model.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Tracking and collecting papers/projects/others related to Segment Anything.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
A Light Neural Network To Control Stable Diffusion Spatial Information tuned by Chinese
AI based multi-label girl image classification system, implemented by using TensorFlow.
Electron Microscopy Image Registration using Correlation Volume
model merge extention for stable diffusion web ui
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
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
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
Image to prompt with BLIP and CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Command line tool for registration of very large 3D volumes.