Alternatives and similar repositories for Matrix-Calculus-Tutorial:

Users that are interested in Matrix-Calculus-Tutorial are comparing it to the libraries listed below

• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆221Updated 3 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆241Updated 3 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 3 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆171Updated 5 years ago
• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆694Updated 4 months ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆437Updated 6 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆470Updated 2 years ago
• optimaltransport / optimaltransport.github.io
  Web site of the Computational Optimal Transport book
  ☆358Updated last year
• tengyuma / cs229m_notes
  ☆215Updated 2 years ago
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆148Updated 5 years ago
• deepgenerativemodels / notes
  Course notes
  ☆648Updated 8 months ago
• mlss-2019 / slides
  ☆259Updated 5 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆539Updated last year
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆117Updated 4 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆157Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆273Updated 5 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆153Updated 4 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆406Updated last week
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆719Updated 5 years ago
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆245Updated 4 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆119Updated 5 years ago
• YinTat / optimizationbook
  ☆124Updated last week
• rll / deepul
  ☆778Updated 10 months ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆330Updated 5 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆664Updated 2 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆592Updated last year
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 4 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• google-deepmind / mc_gradients
  ☆163Updated 5 months ago