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🦜🔗 Build context-aware reasoning applications
Python Data Science Handbook: full text in Jupyter Notebooks
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Neural Networks: Zero to Hero
Sample code for Channel 9 Python for Beginners course
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
Toturials coming with the "data science roadmap" picture.
Recipes for using Python's pandas library
Simple tutorials using Google's TensorFlow Framework
Learn python3 in one picture.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Text and supporting code for Think Stats, 2nd Edition
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Course materials and handouts for #100DaysOfCode in Python course
Low-Cost Open Source Ventilator or PAPR
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Toolbox repository for Tiger team
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
Predict Cryptocurrency Price with Deep Learning
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…
GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.
Patent analysis using the Google Patents Public Datasets on BigQuery
