Alternatives and similar repositories for ML_course

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

• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,315Updated last month
• epfl-ada / 2021
  Materials for Applied Data Analysis CS-401, Fall 2021
  ☆45Updated 2 years ago
• epfl-ada / 2024
  Materials for Applied Data Analysis CS-401, Fall 2024
  ☆50Updated 6 months ago
• LSIR / DIS
  CS-423 Distributed Information Systems
  ☆70Updated 6 months ago
• epfl-ada / 2020
  Materials for Applied Data Analysis CS-401, fall 2020
  ☆50Updated 2 years ago
• epfl-ada / 2023
  Materials for Applied Data Analysis CS-401, Fall 2023
  ☆39Updated last year
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,480Updated 3 months ago
• HexHive / thesis_template
  Template for EPFL (BSc, MSc, or doctoral) theses and semester projects
  ☆134Updated 6 months ago
• epfl-ml4ed / mlbd-2021
  Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.
  ☆8Updated 4 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆832Updated 5 years ago
• neurreps / awesome-neural-geometry
  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
  ☆996Updated 5 months ago
• awesome-mlss / awesome-mlss
  🤖 Machine Learning Summer School Guide
  ☆2,825Updated last week
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆853Updated last month
• DeepLearningDTU / 02456-deep-learning-with-PyTorch
  Exercises and supplementary material for the deep learning course 02456 using PyTorch.
  ☆330Updated 9 months ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,627Updated 11 months ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,691Updated 4 months ago
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,302Updated 3 months ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆537Updated 6 years ago
• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆2,968Updated 7 months ago
• deepgenerativemodels / notes
  Course notes
  ☆706Updated last year
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆767Updated 4 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆573Updated last year
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,388Updated last year
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆2,935Updated 4 months ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆899Updated 4 years ago
• rll / deepul
  ☆812Updated 4 months ago
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,550Updated 4 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,874Updated last year
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆136Updated 11 months ago