Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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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 ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
- jupyter-notebooks
- machine-learning
- colab
- pml
Implement a reasoning LLM in PyTorch from scratch, step by step
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Build a modern LLM from scratch. Every line commented. Explained like we are five.
- attention-mechanism
- deep-learning
- educational
- from-scratch
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
- machine-learning
- multivariate-statistics
- pca
- regression
Code repository for O'Reilly book
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
- jupyter-book
- programming
- python
- textbook
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
- machine-learning
- deep-learning
- python
- classification
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
- natural-language-processing
- nlp
- pytorch-nlp
- pytorch
Python for Finance (O'Reilly)
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
- chatgpt
- dalle2
- data-science
- deep-learning
Official code repo for the O'Reilly Book - "An Illustrated Guide to AI Agents"
Mobile Deep Learning Projects, published by Packt