DeepLearningDTU / 02456-deep-learning-with-PyTorch

Related projects ⓘ

Alternatives and complementary repositories for 02456-deep-learning-with-PyTorch

• SkafteNicki / dtu_mlops
  Exercises and supplementary material for the machine learning operations course at DTU.
  ☆593Updated this week
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆807Updated 3 months ago
• SocialComplexityLab / socialgraphs2023
  ☆21Updated last year
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆255Updated 4 years ago
• deepgenerativemodels / notes
  Course notes
  ☆624Updated 7 months ago
• nicklashansen / rnn_lstm_from_scratch
  How to build RNNs and LSTMs from scratch with NumPy.
  ☆252Updated 4 years ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆458Updated 2 years ago
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆2,580Updated 3 weeks ago
• rll / deepul
  ☆766Updated 8 months ago
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆361Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆68Updated 5 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆405Updated 2 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆189Updated 7 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆86Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆131Updated last year
• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆159Updated 2 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago
• shervinea / pytorch-data-generator
  Template for data generator with PyTorch
  ☆131Updated 6 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆181Updated 4 years ago
• suneman / socialdataanalysis2020
  ☆17Updated 4 years ago
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆253Updated 4 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆272Updated 5 years ago
• munkai / pytorch-tutorial
  Deep learning and natural language processing tutorial in PyTorch
  ☆21Updated 6 years ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,152Updated 4 months ago
• mlss-2019 / tutorials
  ☆274Updated 4 years ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,059Updated 2 months ago
• rasbt / stat451-machine-learning-fs21
  ☆146Updated 2 years ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,577Updated 2 months ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆827Updated 4 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆62Updated last year