- 北京市海淀区-西三环北路83号
Stars
LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)
DS6: Deformation-aware learning for small vesselsegmentation with small, imperfectly labeled dataset
Simple but maybe too simple config management through python data classes. We use it for machine learning.
文本分析包,支持字数统计、可读性、文档相似度、情感分析在内的多种文本分析方法。chinese text sentiment analysis
🐙 关于提示词工程(prompt)的指南、论文、讲座、笔记本和资源大全(自动持续更新)
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🐸 - A general purpose model trainer, as flexible as it gets
The public brain 3D vessel datasets, include TubeTK and MIDAS.
Generate embeddings for images and text using CLIP with LLM
A curated (most recent) list of resources for Learning with Noisy Labels
A curated list of resources for Learning with Noisy Labels
An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.
Open source platform for the machine learning lifecycle
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
🇨🇳🇨🇳🇨🇳这个repo是为了那些准备死磕 计算机考研 4️⃣0️⃣8️⃣的考研党准备的,当然你如果4门课中的部分也可以看看,欢迎star📝📝📝,祝你们一战成硕🏆🏆🏆~~(更新23年大纲变化----2023年408和数学基本无变化)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Stable Diffusion web UI