1.Lordog / dive-into-llms
TranslatedDive into LLMs: a series of hands-on programming tutorials
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44 repositories by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
TranslatedDive into LLMs: a series of hands-on programming tutorials
TranslatedPython - 100 Days from Novice to Master
One has no future if one couldn't teach themself.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
This is a repo with links to everything you'd ever want to learn about data engineering
Anthropic's Interactive Prompt Engineering Tutorial
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
Learn ML engineering for free in 4 months! Register here 👇🏼
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
Companion webpage to the book "Mathematics For Machine Learning"
Course Files for Complete Python 3 Bootcamp Course on Udemy
Learn OpenCV : C++ and Python Examples
💿 Free software that works great, and also happens to be open-source Python.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
《Python Cookbook》 3rd Edition Translation
Lectures on scientific computing with python, as IPython notebooks.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
Simple tutorials using Google's TensorFlow Framework
The repository host gives no description.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
🐧 Abuse of Google Colab for cracking hashes.
The repository host gives no description.
Mostly experiments based on "Advances in financial machine learning" book
Sources codes for: Mastering Python for Finance, Second Edition
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Tutorials and training material for the H2O Machine Learning Platform
Introduction to Statistics using Python
food image to recipe with deep convolutional neural networks.
Analysis of High Frequency Trading on Bitcoin exchanges
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
General Modeling Network Specification
tutorials made for biologists to learn deep learning