Alternatives and similar repositories for MathForCS_ML:

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

• woctezuma / deep-learning-resources
  Books, courses, videos and blogs, mostly about Deep Learning.
  ☆40Updated 4 months ago
• mossr / machine_learning_book
  Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook
  ☆52Updated 3 years ago
• rasbt / ML-YouTube-Courses
  A repository to index and organize the latest machine learning courses found on YouTube.
  ☆31Updated 3 years ago
• introdeeplearning / book
  Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
  ☆124Updated last year
• EricDarve / NLA
  Numerical Linear Algebra Notes CME 302 Stanford
  ☆10Updated last month
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆80Updated 10 months ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago
• albanie / algorithms-and-data-structures
  Video descriptions and minimalist Python implementations of algorithms and data structures.
  ☆63Updated last year
• MMiDS-textbook / MMiDS-textbook.github.io
  Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch
  ☆23Updated last week
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆143Updated last year
• WessZumino / Random-Matrix-theory-for-pedestrians
  ☆18Updated 4 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆13Updated 3 years ago
• arkabokshi / asymptotics-perturbation-methods
  ☆34Updated 3 years ago
• arghyadutta / resources
  Links to books, webpages, essays, apps, and other stuff from the internet.
  ☆24Updated 4 months ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆33Updated last year
• CMU-Graphics / molecular-dynamics
  Skeleton code and visualization for basic molecular dynamics simulator
  ☆27Updated 3 years ago
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆149Updated 3 months ago
• MonitSharma / Numerical-Linear-Algebra
  A course on Linear Algebra using Python in Jupyter notebooks
  ☆29Updated last year
• AnirudhDagar / MessagePassing_for_GNNs
  Experiments with Message Passing GNNs in C++ and PyTorch.
  ☆24Updated 6 months ago
• lwehbe / 10606607_M20
  ☆14Updated 4 years ago
• usccolumbia / Awesome-Machine-learning-for-discovery-of-physical-laws
  A curated list of awesome resources on using machine learning and data science for discovery of physical laws
  ☆31Updated 4 years ago
• amirabbasasadi / RockyML
  ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems
  ☆19Updated last year
• Ben-McKay / concrete-algebra
  A textbook of elementary undergraduate algebra with an emphasis on hand and computer computation, as a precursor to the usual big algebra…
  ☆81Updated last year
• pyt-team / tdlbook
  ☆28Updated 5 months ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆82Updated 2 years ago
• juanrojochacon / ml-ditp-attp
  Machine Learning: a New Toolbox for Theoretical Physics (Advanced Topics in Theoretical Physics course)
  ☆13Updated 5 years ago
• boazbk / nandnotebooks
  Jupyter notebooks with some NAND code
  ☆19Updated 6 years ago
• paperswithcode / tutorials
  Basic guidance on how to contribute to Papers with Code
  ☆20Updated 2 years ago
• ejmichaud / precision-ml
  ☆13Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆193Updated 10 months ago