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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A latent text-to-image diffusion model
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
10 Weeks, 20 Lessons, Data Science for All!
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A guidance language for controlling large language models.
A collection of various deep learning architectures, models, and tips
Companion webpage to the book "Mathematics For Machine Learning"
Natural Language Processing Tutorial for Deep Learning Researchers
Public facing notes page
YSDA course in Natural Language Processing
Best Practices, code samples, and documentation for Computer Vision.
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A course in reinforcement learning in the wild
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Book about interpretable machine learning
links to conference publications in graph-based deep learning
Jupyter notebooks for the Natural Language Processing with Transformers book
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models