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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science 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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The fastai book, published as Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
Data and code behind the articles and graphics at FiveThirtyEight
A collection of various deep learning architectures, models, and tips
Companion webpage to the book "Mathematics For Machine Learning"
Neural Networks: Zero to Hero
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Free MLOps course from DataTalks.Club
Practice your pandas skills!
LAVIS - A One-stop Library for Language-Vision Intelligence
YSDA course in Natural Language Processing
Learn ML engineering for free in 4 months!
This repository contains demos I made with the Transformers library by HuggingFace.
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.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Toturials coming with the "data science roadmap" picture.
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
Python code for "Probabilistic Machine learning" book by Kevin Murphy