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Python - 100天从新手到大师
🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Python Data Science Handbook: full text in Jupyter Notebooks
10 Weeks, 20 Lessons, Data Science for All!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
The "Python Machine Learning (1st edition)" book code repository and info resource
Kubernetes community content
Free MLOps course from DataTalks.Club
An open-source, low-code machine learning library in Python
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Simple tutorials using Google's TensorFlow Framework
Notebooks for learning deep learning
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
A better notebook for Scala (and more)
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
HuggingLLM, Hugging Future.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
A clear, concise, simple yet powerful and efficient API for deep learning.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Demo of running NNs across different frameworks
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！
Coursera Machine Learning - Python code
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
鉴于我没有时间继续写这个东西，这个项目暂时废止
《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件