Alternatives and similar repositories for mathematics-computerscience-courses:

Users that are interested in mathematics-computerscience-courses are comparing it to the libraries listed below

• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆147Updated last year
• ctanujit / lecture-notes
  ☆67Updated 10 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆89Updated last year
• antoinebrl / awesome-ml-blogs
  Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
  ☆187Updated 3 months ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆197Updated 11 months ago
• tallamjr / stanford-cs234
  Stanford CS234 : Reinforcement Learning
  ☆140Updated 5 years ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆86Updated 11 months ago
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆26Updated 8 months ago
• MonitSharma / Numerical-Linear-Algebra
  A course on Linear Algebra using Python in Jupyter notebooks
  ☆30Updated last year
• erachelson / RLclass_MVA
  ☆52Updated 3 weeks ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆88Updated 9 months ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆166Updated 9 months ago
• xia0nan / David-Silver-Reinforcement-Learning-UCL
  Study repo for David Silver's Reinforcement Learning Course
  ☆11Updated 5 years ago
• Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
  Compendium of free ML reading resources
  ☆301Updated 2 weeks ago
• atakansite / nlp-courses
  Natural Language Processing Courses with Resources
  ☆33Updated 3 months ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated last year
• ahkarami / Great-Deep-Learning-Books
  A Great Collection of Deep Learning (e)Books
  ☆119Updated 3 months ago
• gerdm / reinforcement-learning
  Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …
  ☆30Updated 5 months ago
• harvard-ml-courses / cs181-textbook
  ☆119Updated last month
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆166Updated 2 years ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆159Updated last year
• dmarx / anthology-of-modern-ml
  Collection of important articles to be treated as a textbook
  ☆698Updated last month
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆321Updated last year
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆175Updated 3 years ago
• vaseline555 / Algorithms-for-Optimization-Python
  Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…
  ☆46Updated 2 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆174Updated 2 years ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆74Updated last year
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆232Updated 5 months ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆79Updated 6 years ago