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

• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,156Updated 2 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆249Updated 4 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆339Updated last year
• 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-…
  ☆478Updated last year
• huyfm / cs229-solution
  CS229 Solution (summer 2019, 2020).
  ☆17Updated last year
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆518Updated 3 years ago
• rickwierenga / CS229-Python
  Exercises and solutions to Stanford CS229 Machine Learning in Python
  ☆199Updated 2 years ago
• Harvard-IACS / 2021-CS109B
  ☆47Updated 2 years ago
• CoveredInChocolate / AllStatistics
  Solutions for All of Statistics by Wasserman
  ☆12Updated 4 years ago
• roessland / learning-from-data
  Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, percep…
  ☆47Updated 6 years ago
• shuyanwang / 11785HW
  Homework Repository for 11-785 Introduction to Deep Learning, Spring 2021.
  ☆16Updated 4 years ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,641Updated 2 weeks ago
• learning511 / cs229-assignments
  ☆182Updated 7 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆294Updated 3 years ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆617Updated last year
• PacktPublishing / The-Kaggle-Book
  Code Repository for The Kaggle Book, Published by Packt Publishing
  ☆2,273Updated last month
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆266Updated 2 years ago
• amanchadha / stanford-cs231n-assignments-2020
  This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Sp…
  ☆175Updated 4 years ago
• ageron / handson-mlp
  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn a…
  ☆173Updated last week
• The-AI-Summer / Deep-Learning-In-Production
  Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
  ☆1,184Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2021-labs
  Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
  ☆447Updated 3 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆327Updated 2 years ago
• lujiazho / MachineLearningPlayground
  Implementation of basic mathematical pattern recognition/machine learning techniques for fun
  ☆132Updated 2 years ago
• dmarx / anthology-of-modern-ml
  Collection of important articles to be treated as a textbook
  ☆808Updated last month
• 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
  ☆901Updated 4 years ago
• PacktPublishing / Hands-On-Graph-Neural-Networks-Using-Python
  Hands-On Graph Neural Networks Using Python, published by Packt
  ☆961Updated last month
• xbresson / CS5242_2025
  NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025
  ☆401Updated 5 months ago
• maxim5 / cs224n-2020-winter
  All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
  ☆18Updated 3 years ago
• SethHWeidman / DLFS_code
  Code for the book Deep Learning From Scratch, from O'Reilly September 2019
  ☆589Updated 11 months ago
• dariokonopatzki / Deep-Learning-Foundations-and-Concepts-Solutions
  My solutions to DLFC - Deep Learning: Foundations and Concepts
  ☆90Updated 6 months ago