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21 Lessons, Get Started Building with Generative AI
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
🔊 Text-Prompted Generative Audio Model
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Learn OpenCV : C++ and Python Examples
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
One has no future if one couldn't teach themself.
Companion webpage to the book "Mathematics For Machine Learning"
llama3 implementation one matrix multiplication at a time
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Automatic extraction of relevant features from time series:
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Image restoration with neural networks but without learning.
Notebooks and code for the book "Introduction to Machine Learning with Python"
A scikit-learn compatible neural network library that wraps PyTorch
Imaging, analysis, and simulation software for radio interferometry
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Lectures on scientific computing with python, as IPython notebooks.
Python-based tools for document analysis and OCR
Introduction to Deep Neural Networks with Keras and Tensorflow
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
subpixel: A subpixel convnet for super resolution with Tensorflow
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques