Stars
Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
stable diffusion webui colab
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
The "Python Machine Learning (1st edition)" book code repository and info resource
The "Python Machine Learning (2nd edition)" book code repository and info resource
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
Automatic 2D-to-3D Video Conversion with CNNs
Code repository for Deep Learning with Keras published by Packt
Boltzmann Machines in TensorFlow with examples
What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.
Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data
MXNet Tutorial for NVidia GTC 2016.
Docker container for the Raspberry Pi containing Tensorflow and Jupyter
Tutorial: SciPy and OpenCV as an interactive computing environment for computer vision
DEPRECATED - A Docker image for Tensorflow, an open source software library for numerical computation using data flow graphs that will let you play and learn distinct Machine Learning techniques ov…
F^3 is Python-based framework for valuing forward looking financial products on Heterogeneous Parallel Computing Platforms