Alternatives and similar repositories for Deep-Learning-A-Visual-Approach

Users that are interested in Deep-Learning-A-Visual-Approach are comparing it to the libraries listed below

• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆216Updated last year
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆267Updated 2 years ago
• NVDLI / LDL
  Learning Deep Learning
  ☆320Updated 10 months ago
• rkneusel9 / MathForDeepLearning
  Source code for the book "Math for Deep Learning" (No Starch Press)
  ☆168Updated 7 months ago
• joe-papa / pytorch-book
  Code included in the book, PyTorch Pocket Reference
  ☆154Updated 4 years ago
• halanelson / Essential-Math-For-AI
  This repository contains the supplementary material associated with my book: Essential Math for AI published by O'Reilly Media
  ☆392Updated last week
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆293Updated 4 years ago
• arj7192 / MasteringPyTorchV2
  ☆154Updated last year
• aburkov / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆65Updated 5 years ago
• SethHWeidman / DLFS_code
  Code for the book Deep Learning From Scratch, from O'Reilly September 2019
  ☆593Updated 11 months ago
• the-deep-learners / deep-learning-illustrated
  Deep Learning Illustrated (2020)
  ☆765Updated 2 years ago
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆193Updated last year
• mikexcohen / LinAlg4DataScience
  Code that accompanies the book "Linear Algebra for Data Science"
  ☆377Updated last year
• DSML-book / Programs
  Programs
  ☆116Updated 11 months ago
• dvgodoy / PyTorchStepByStep
  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
  ☆1,199Updated 7 months ago
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆443Updated 4 months ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆440Updated last year
• Denis2054 / Transformers-for-NLP-and-Computer-Vision-3rd-Edition
  Transformers 3rd Edition
  ☆453Updated 2 months ago
• mikexcohen / LinAlgCourse
  Python and MATLAB code for online linear algebra course
  ☆187Updated 11 months ago
• Harvard-IACS / 2021-CS109A
  ☆140Updated 3 years ago
• rishal-hurbans / Grokking-Artificial-Intelligence-Algorithms
  The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
  ☆368Updated 3 weeks ago
• luisguiserrano / manning
  Repository for the book Grokking Machine Learning, by Manning Editors
  ☆732Updated 3 weeks ago
• PacktPublishing / Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
  The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…
  ☆133Updated last month
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆310Updated last month
• duchesnay / pystatsml
  Statistics and Machine Learning in Python
  ☆199Updated last week
• minireference / noBSLAnotebooks
  Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
  ☆239Updated last year
• blueberrymusic / DeepLearning-FromBasics-1st-Edition
  ☆37Updated 4 years ago
• thomasnield / machine-learning-demo-data
  ☆216Updated 10 months ago
• PacktPublishing / Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
  Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
  ☆214Updated last month
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆267Updated last year