rasbt / stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
☆501Updated 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:
- ☆149Updated 3 years ago
- Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai☆471Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆470Updated last year
- Deep Learning Fundamentals -- Code material and exercises☆375Updated last year
- Mastering PyTorch, published by Packt☆293Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆272Updated 4 years ago
- Exercises and supplementary material for the deep learning course 02456 using PyTorch.☆329Updated 6 months ago
- FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDictCode for my medium article☆370Updated 4 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆169Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆570Updated 5 years ago
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆1,028Updated 4 years ago
- Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning☆490Updated 2 years ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆841Updated 3 months ago
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆2,836Updated last month
- Collection of useful data science topics along with code and articles☆25Updated 3 years ago
- Collection of Algorithms implemented in Python☆235Updated 2 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,156Updated 2 years ago
- Efficient Python Tricks and Tools for Data Scientists☆25Updated 3 years ago
- This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Sp…☆173Updated 3 years ago
- Personal short implementations of Machine Learning papers☆250Updated last year
- Getting Started with PyTorch Lightning, Published by Packt☆157Updated last year
- Paper implementations from scratch and machine learning tutorials☆348Updated last year
- Lightning Bits: Engineering for Researchers repo☆132Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Deep Learning specialization☆57Updated 6 years ago
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆314Updated 2 weeks ago
- ☆800Updated last month
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆237Updated last year
- Notebooks for the "A walk with fastai2" Study Group and Lecture Series☆747Updated 3 years ago