ageron / handson-ml2
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.
☆28,414Updated 8 months ago
Alternatives and similar repositories for handson-ml2:
Users that are interested in handson-ml2 are comparing it to the libraries listed below
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,291Updated last year
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆8,565Updated last week
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆18,971Updated 7 months ago
- Companion webpage to the book "Mathematics For Machine Learning"☆13,727Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,283Updated last year
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆24,927Updated 6 months ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,524Updated 6 months ago
- The fastai book, published as Jupyter Notebooks☆22,578Updated 6 months ago
- PRML algorithms implemented in Python☆11,536Updated 4 months ago
- NYU Deep Learning Spring 2020☆6,725Updated 5 months ago
- A collection of various deep learning architectures, models, and tips☆16,881Updated last year
- Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media☆22,714Updated last year
- The fastai deep learning library☆26,639Updated 2 months ago
- this repository accompanies the book "Grokking Deep Learning"☆7,528Updated 8 months ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,341Updated 2 months ago
- The most cited deep learning papers☆25,694Updated last year
- TensorFlow code and pre-trained models for BERT☆38,655Updated 6 months ago
- Minimal and clean examples of machine learning algorithms implementations☆10,788Updated last year
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆17,937Updated 4 years ago
- Deep Learning for humans☆62,582Updated this week
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,145Updated 4 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,480Updated 4 months ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,306Updated 3 months ago
- scikit-learn: machine learning in Python☆61,133Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆38,171Updated 6 months ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆35,384Updated 4 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,448Updated 4 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,911Updated last year
- This repository is no longer maintained.☆15,399Updated 5 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,304Updated 4 months ago