Alternatives and similar repositories for visual-machine-learning-notes:

Users that are interested in visual-machine-learning-notes are comparing it to the libraries listed below

• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆828Updated 3 years ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆272Updated 4 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆342Updated 4 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆317Updated 2 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 5 years ago
• Machine-Learning-Tokyo / Deep_Reinforcement_Learning
  Resources, papers, tutorials
  ☆124Updated 4 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆380Updated 2 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆565Updated 4 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆558Updated 2 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆893Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,209Updated 2 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 2 years ago
• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆447Updated 2 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆143Updated 4 years ago
• zaidalyafeai / Notebooks
  Machine learning notebooks in different subjects optimized to run in google collaboratory
  ☆371Updated 4 years ago
• stared / thinking-in-tensors-writing-in-pytorch
  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
  ☆359Updated 2 months ago
• rll / deepul
  ☆784Updated last year
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆183Updated 5 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆335Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆275Updated 6 years ago
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆830Updated 4 years ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆304Updated 4 years ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,200Updated 3 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆560Updated 2 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆527Updated 5 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆108Updated 4 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆206Updated last year
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆187Updated 4 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆456Updated 4 years ago