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🦜🔗 Build context-aware reasoning applications
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 Weeks, 24 Lessons, AI for All!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Course Files for Complete Python 3 Bootcamp Course on Udemy
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.
Free Data Engineering course!
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
📡 Simple and ready-to-use tutorials for TensorFlow
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Companion webpage to the book "Mathematics For Machine Learning"
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Neural Networks: Zero to Hero
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Free MLOps course from DataTalks.Club
Practice your pandas skills!
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
YSDA course in Natural Language Processing
Learn ML engineering for free in 4 months!
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Notebooks and code for the book "Introduction to Machine Learning with Python"
Zero-Shot Speech Editing and Text-to-Speech in the Wild
