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 ;)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
Notebooks and code for the book "Introduction to Machine Learning with Python"
this repository accompanies the book "Grokking Deep Learning"
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Build a modern LLM from scratch. Every line commented. Explained like we are five.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
- phi3
- phi3-testing
- phi3-vision
- phi4
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Repo for AI Agents The Definitive Guide
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
- jupyter-book
- programming
- python
- textbook
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Sources codes for: Mastering Python for Finance, Second Edition
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook