Popular GitHub Repositories for Jupyter Kernel

10 Lessons to Get Started Building AI Agents

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 ;)

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

A neural network that transforms a design mock-up into a static website.

Machine Learning Toolkit for Kubernetes

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

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》)

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Best Practices, code samples, and documentation for Computer Vision.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

AI实战-practicalAI 中文版

Setup and customize deep learning environment in seconds.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A collection of important graph embedding, classification and representation learning papers with implementations.

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易