rasbt / stat453-deep-learning-ss21Links
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
☆502Updated 3 years ago
Alternatives and similar repositories for stat453-deep-learning-ss21
Users that are interested in stat453-deep-learning-ss21 are comparing it to the libraries listed below
Sorting:
- ☆150Updated 3 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆422Updated 8 months ago
- Mastering PyTorch, published by Packt☆293Updated last year
- Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai☆471Updated 3 years ago
- Deep Learning Fundamentals -- Code material and exercises☆377Updated last year
- Inside Deep Learning: The math, the algorithms, the models☆254Updated last year
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆187Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆275Updated 4 years ago
- NYU Deep Learning Fall 2022☆60Updated 8 months ago
- Course notebooks for GANs specializations☆119Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆471Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Getting Started with PyTorch Lightning, Published by Packt☆157Updated last year
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆170Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- Repository with all my blog posts on data science and machine learning learning topics☆80Updated 6 months ago
- This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Sp…☆175Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆571Updated 5 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆160Updated last year
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Lightning Bits: Engineering for Researchers repo☆132Updated 2 years ago
- Machine Learning Q and AI book☆426Updated 8 months ago
- A collection of machine learning courses.☆44Updated 3 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆534Updated 6 years ago
- PyTorch Computer Vision Cookbook, Published by Packt☆310Updated 2 years ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆367Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆448Updated 3 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆52Updated 2 years ago
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆817Updated last year