Alternatives and similar repositories for Stanford-CS109-Probability-for-computer-scientists:

Users that are interested in Stanford-CS109-Probability-for-computer-scientists are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs21
  ☆146Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆460Updated last year
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆263Updated 4 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆200Updated 2 years ago
• huyfm / cs229-solution
  CS229 Solution (summer 2019, 2020).
  ☆12Updated last year
• CoveredInChocolate / AllStatistics
  Solutions for All of Statistics by Wasserman
  ☆11Updated 3 years ago
• Harvard-IACS / 2021-CS109B
  ☆46Updated 2 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆239Updated last year
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆319Updated last year
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆316Updated 6 months ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆125Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆75Updated 6 years ago
• mantasu / cs224n
  Solutions for CS224n (2022)
  ☆60Updated 9 months ago
• jxzly / Kaggle-American-Express-Default-Prediction-1st-solution
  ☆225Updated last year
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆537Updated 3 years ago
• zahta / graph_ml
  Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics…
  ☆18Updated this week
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,042Updated last year
• hoangnguyen7699 / StatisticsForApplication_solution
  ☆59Updated last year
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆352Updated 3 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,028Updated 2 years ago
• DS-100 / fa20
  Fall 2020 Public Materials
  ☆15Updated this week
• mnslarcher / cs224w-slides-to-code
  ☆58Updated 2 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆92Updated 2 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆205Updated 3 years ago
• amber-kshz / PRML
  Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
  ☆250Updated 3 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆179Updated last year
• 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
  ☆865Updated 3 years ago
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆160Updated 6 months ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆666Updated last year