Name: SkyrookieYu
Type: User
Bio: A Not-so-good Programmer, A Curious Engineer, A Fascinated M.D., Ph.D., Traditional Chinese Medicine
身為軟體工程師和中醫師,寫程式與解決病痛都是我的工作。
身兼码农和中医, 写码治病都要抓!
Location: Changsha City, Province of Hunan, People's Republic of China
SkyrookieYu's Projects
Large Language Model Text Generation Inference
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,T5,UDA等模型的训练和预测,开箱即用。
The official Tensorflow implementation for CVPR'19 paper 'Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture'
fcn by tensorflow
2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛
A brief computer graphics / rendering course
A python-version tiny renderer, as a small practice for another advanced project
A fork of ssloy/tinyrenderer in python
Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3
用时间去投资中医学和原始点医学。
Learn traditional Chinese medicine.
finetune llama2 with traditional chinese dataset
大创项目:中医药知识图谱构建
A paper list of some recent Transformer-based CV works.
Recent Transformer-based CV and related works.
Playground for Transformers
Fast Inference Solutions for BLOOM
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
开源易用的中文离线OCR,识别率媲美大厂,并且提供了易用的web页面及web的接口,方便人类日常工作使用或者其他程序来调用~
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
The LaTeX Template for TW Thesis 台灣碩博士 LaTeX 論文樣板
A very lightweight & simple embedded http server for c#
Resources for understanding the output of MediaPipe's Face Mesh.
造福大家,0广告,收集归纳
The lightning-fast ASGI server. 🦄
Segmentation vgg16 fcn - cityscapes
一个基于hls协议的视频加密Demo
HLS library for video.js