Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning Fundamentals -- Code material and exercises
Keras implementations of Generative Adversarial Networks.
Coursera Generative Adversarial Networks (GANs) Specialization
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
amanchadha / Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Forked from Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlowNotes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DSCI 511: Programming for Data Science
PyTorch Tutorials from my YouTube channel
Public documents for the Master of Data Science program at the University of British Columbia
Source codes for "Knock Knock! Deep Learning" series.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
李宏毅2021/2022/2023春季机器学习课程课件及作业
CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit