Alternatives and similar repositories for notebooks

Users that are interested in notebooks are comparing it to the libraries listed below

• graykode / distribution-is-all-you-need
  The basic distribution probability Tutorial for Deep Learning Researchers
  ☆1,633Updated 4 years ago
• glouppe / info8010-deep-learning
  Lectures for INFO8010 Deep Learning, ULiège
  ☆1,266Updated 2 months ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,691Updated 4 months ago
• yoninazarathy / MathematicalEngineeringDeepLearning
  Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
  ☆451Updated 11 months ago
• yangyutu / EssentialMath
  ☆820Updated 3 years ago
• sannykim / deeplearning-guide
  An evolving guide to learning Deep Learning effectively.
  ☆716Updated 5 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,080Updated 6 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆560Updated 3 years ago
• Machine-Learning-Tokyo / CNN-Architectures
  ☆505Updated 11 months ago
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,920Updated 2 years ago
• cgpotts / cs224u
  Code for Stanford CS224u
  ☆2,153Updated 5 months ago
• sgrvinod / Deep-Tutorials-for-PyTorch
  In-depth tutorials for implementing deep learning models on your own with PyTorch.
  ☆1,545Updated last year
• omerbsezer / Fast-Pytorch
  Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
  ☆432Updated 6 years ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,197Updated 3 years ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆853Updated last month
• dsgiitr / d2l-pytorch
  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
  ☆4,319Updated last year
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆150Updated 5 years ago
• deepgenerativemodels / notes
  Course notes
  ☆706Updated last year
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,994Updated 3 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆366Updated 7 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,045Updated 5 years ago
• pbloem / former
  Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)
  ☆1,087Updated 4 months ago
• GANs-in-Action / gans-in-action
  Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
  ☆1,023Updated 2 weeks ago
• omar-florez / scratch_mlp
  Explaining the Math of how neural networks learn
  ☆375Updated 5 years ago
• Sierkinhane / CS229-ML-Implementation
  Implementation of algorithms introduced in CS229.
  ☆387Updated 3 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,084Updated 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.
  ☆264Updated 4 years ago
• Doraemonzzz / Learning-from-data
  记录Learning from data一书中的习题解答
  ☆991Updated 6 years ago
• Amin-Tgz / awesome-tensorflow-2
  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
  ☆522Updated 2 years ago