Lists (20)
Starred repositories
30
stars
written in Jupyter Notebook
Clear filter
Learn how to design, develop, deploy and iterate on production-grade ML applications.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
100-Days-Of-ML-Code中文版
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Toturials coming with the "data science roadmap" picture.
The fastest way to create an HTML app
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
A Deep Learning based project for creating line art portraits.
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）
Query data on the command line with SQL-like SELECTs powered by Python expressions
This content is analysis and research of the data sources currently listed in ATT&CK.
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
🔮 Life is short, you need PyTorch.
Using Computer with your Statistics Major Course