yoninazarathy / MathematicalEngineeringDeepLearning

Related projects ⓘ

Alternatives and complementary repositories for MathematicalEngineeringDeepLearning

• duchesnay / pystatsml
  Statistics and Machine Learning in Python
  ☆187Updated 2 weeks ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆398Updated last month
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆311Updated 4 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆234Updated 2 years ago
• introdeeplearning / book
  Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
  ☆119Updated last year
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆141Updated 2 weeks ago
• storopoli / Bayesian-Statistics
  Bayesian statistics graduate course
  ☆340Updated 2 weeks ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆314Updated last month
• PacktPublishing / Hyperparameter-Tuning-with-Python
  Hyperparameter Tuning with Python
  ☆179Updated last year
• Bluedotdot2021 / DDPM-Live
  保存有关DDPM直播的资料
  ☆17Updated 7 months ago
• 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
• shiernee / Advanced_ML
  ☆70Updated last year
• rentruewang / learning-machine
  A handbook for ML built on answers.
  ☆489Updated 9 months ago
• PacktPublishing / Deep-Learning-with-PyTorch-Lightning
  Getting Started with PyTorch Lightning, Published by Packt
  ☆151Updated last year
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆345Updated 3 years ago
• dvgodoy / PyTorchStepByStep
  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
  ☆886Updated last week
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,397Updated 4 months ago
• falloutdurham / beginners-pytorch-deep-learning
  Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
  ☆468Updated last year
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆230Updated last year
• joe-papa / pytorch-book
  Code included in the book, PyTorch Pocket Reference
  ☆138Updated 3 years ago
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,160Updated last year
• glouppe / info8010-deep-learning
  Lectures for INFO8010 Deep Learning, ULiège
  ☆1,224Updated 6 months ago
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆419Updated 2 years ago
• dataflowr / notebooks
  code for deep learning courses
  ☆1,087Updated 4 months ago
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆355Updated 9 months ago
• mazhengcn / suggested-notation-for-machine-learning
  This introduces a suggestion of mathematical notation protocol for machine learning.
  ☆442Updated 3 months ago
• 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…
  ☆143Updated 5 months ago
• EricDarve / cme213-spring-2021
  CME 213 Spring 2021
  ☆64Updated 3 years ago
• EscapeTHU / Machine_Learning_Cookbook
  Mathematica non est instrumentum sed ideum.
  ☆38Updated 2 years ago