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
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Code for the Make Your Own Neural Network book
The development repo for the Primer on Bézier curves, https://pomax.github.io/bezierinfo
- bezier-curves
- book
Do design No code 💻📱🛒📚
- shop
- shopping
- user-system
- shop-cart
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
📖 Chinese edition of *CSS Secrets* |《CSS 揭秘》这本书的大本营
The projects and the materials that accompany the Flutter Apprentice book
:book: JavaScript Primer - 迷わないための入門書
Source Code for the book: Machine Learning in Action published by Manning
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
From apprentice to master (CC BY-NC-ND)
Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
- blackhat-python
- ethical-hacking
- network-programming
- network-security
《语法俱乐部》- 旋元佑
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
books pdf
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, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.
- machine-learning
- deep-learning
- algorithms
- product-management
A textbook on informal homotopy type theory
Learning Shell，Python，Golang，System，Network
- shell
- python
- operating-systems
- linux-system
毛泽东选集
Source Code for the book Building Machine Learning Systems with Python
Source code for the book Rust in Action
- rust
- rustlang
- book
- rust-in-action
A summary of Apple's Swift language written on Playgrounds
- swift-language
- swift-summary
- apple
- playground