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Deep learning paper implementations with side-by-side notes and explanations
Curated list of deep learning resources including books, courses, tutorials, and tools for developers.
Deep learning implementation of Dive into Deep Learning using PyTorch
A collection of machine learning and deep learning tutorials, articles, and resources.
Simple and ready-to-use tutorials for the TensorFlow deep learning framework.
A curated list of tutorials, papers, and projects related to the PyTorch deep learning library.
A curated collection of AI and machine learning learning resources and tutorials for vibe coders
This is a best practice for a TensorFlow project template architecture for developers building AI-powered applications.
A comprehensive machine learning glossary and cheatsheet for data scientists and AI developers.
A collection of machine learning lessons and teaching projects designed for engineers.
A comprehensive TensorFlow & Deep Learning tutorial for developers.
A simple, powerful, and efficient API for building deep learning models in Python.
A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.
In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.
This repository provides a collection of PyTorch tutorials, examples, and related books for developers interested in deep learning and AI.
Example Android app demonstrating how to use TensorFlow for machine learning on Android devices.
A collection of small projects related to Neural Networks and Deep Learning with a focus on computer vision.
A Chinese translation of the official PyTorch book 'Deep learning with PyTorch' with runnable code examples.
An open-source stock trading algorithm backtesting platform for training AI models on financial data.
A collection of deep learning experiments and tutorials to help developers understand and apply deep learning techniques.
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