Popular GitHub Repositories for Jupyter Lab

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

Machine Learning Toolkit for Kubernetes

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

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》)

✔（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】

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

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

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

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.

Setup and customize deep learning environment in seconds.

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

AI实战-practicalAI 中文版

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.