Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
☆545May 26, 2019Updated 7 years ago
Alternatives and similar repositories for stat479-deep-learning-ss19
Users that are interested in stat479-deep-learning-ss19 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆503Dec 20, 2018Updated 7 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆779Nov 28, 2020Updated 5 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,817Oct 2, 2020Updated 5 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆577May 1, 2020Updated 6 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Jul 2, 2019Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,199Oct 1, 2020Updated 5 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆318Apr 4, 2022Updated 4 years ago
- A collection of various deep learning architectures, models, and tips☆17,502Feb 8, 2024Updated 2 years ago
- Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)☆11Apr 16, 2019Updated 7 years ago
- The "Python Machine Learning (3rd edition)" book code repository☆5,023Apr 19, 2023Updated 3 years ago
- The Hitchiker's Guide to PyTorch☆1,198Sep 13, 2021Updated 4 years ago
- NYU Deep Learning Spring 2020☆6,807Jun 16, 2025Updated 11 months ago
- scikit-learn: machine learning in Python☆17Oct 16, 2021Updated 4 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,145May 20, 2026Updated last week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Machine learning with Python tutorial at MSU Data Science 2018☆110Feb 21, 2018Updated 8 years ago
- Stats 479 Project☆22May 9, 2019Updated 7 years ago
- Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris☆1,469Aug 16, 2024Updated last year
- Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101☆5,502Jun 27, 2023Updated 2 years ago
- this repository accompanies the book "Grokking Deep Learning"☆7,702Jun 1, 2024Updated last year
- Know your ML Score based on Sculley's paper☆34Apr 22, 2019Updated 7 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆120Mar 26, 2026Updated 2 months ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆279Mar 15, 2019Updated 7 years ago
- Collection of PyTorch-related utility functions☆29Nov 24, 2018Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)