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62 search results found
Awesome Infosec
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4,810
A curated list of awesome infosec courses and training resources.
Actionroguelike
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2,915
Third-person Action Roguelike made in Unreal Engine C++. Project for Unreal Engine C++ Course & Stanford University
Awesome Ml Courses
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2,324
Awesome free machine learning and AI courses with video lectures.
Datasciencecoursera
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1,838
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Freeml
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994
A List of Data Science/Machine Learning Resources (Mostly Free)
Ml University
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710
Machine Learning Open Source University
Cs224n Stanford Winter 2019
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432
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
Cs131_release
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422
Released assignments for the Stanford's CS131 course on Computer Vision.
Coursera Stanford Ml Python
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365
Coursera/Stanford Machine Learning course assignments in python
Stanford Algs
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290
Example Test Cases for Stanford's Algorithms Coursera Specialization
Machine Learning Notebooks
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258
Stanford Machine Learning course exercises implemented with scikit-learn
Cs193p Spring 2016
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253
These are the lectures, slides, reading assignments, and problem sets for the 'Developing iOS 9 Apps with Swift' CS193p course offered at the Stanford School of Engineering and available on iTunes U.
Machine Learning Curriculum
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248
Complete path for a beginner to become a Machine Learning Scientist!
Cs224n 2019
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180
My completed implementation solutions for CS224N 2021 & 2019
Cs253.stanford.edu
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171
CS 253 Web Security course at Stanford University
Stanford_cs231n_2019
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147
Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
Journalism Syllabi
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134
Computer-Assisted Reporting and Data Journalism Syllabuses, compiled by Dan Nguyen
Cs229 Python
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114
Exercises and solutions to Stanford CS229 Machine Learning in Python
Cs231n Convolutional Neural Networks Solutions
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110
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Standford Cs193p 2020spring Swiftui
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99
Stanford University's course CS193p in the spring quarter of 2020 (Developing Applications for iOS using SwiftUI)
Machine Learning
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92
My Attempt(s) In The World Of ML/DL....
Cs143 Compilers Stanford
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69
My solutions to the programming assignments of the Stanford Compiler course.
Ml Coursera
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67
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Machine Learning
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60
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
Ai Class
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60
Code collection for the Stanford Online Introduction to Artificial Intelligence class
Polisci150b
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57
Machine Learning for Social Science
Coursera Crypto1
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55
Coursera Stanford Cryptography 1
Aftercsintro
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52
Finished with your first programming course and not sure how to go on? The Stanford Code in Place team shares a roadmap with what courses to follow and where to find information about them
Coursera Stanford Algorithms Specialization
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39
Notebook for quick search
Computer Networking
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37
Lecture Slides for Philip Levis and Nick McKeown's "Introduction to Computer Networking" Stanford course
Last Minute Notes Of Machine Learning And Deep Learning
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31
Last Minute Note of Machine learning and Deep learning by Jason Brownlee
Deep Learning
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29
Collection of deep learning resources.
Cs231n
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28
CS231n Assignments Solutions - Spring 2020
Cs228 Notes
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27
Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
Teachingdatascience
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25
A set of resources for those teaching data science courses.
Cool Compiler
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23
Stanford CS1/CS143 Compilers Course Project - Cool compiler
Cs43
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22
Course materials for Stanford's CS43: Functional Programming Paradigms
2016 06 27 First Ds Course User
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21
Slides for the "A first-year undergraduate data science course" talk at useR 2016 at Stanford
Coursera Ml Julia
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14
Coursera Stanford Machine Learning course in Julia
Cs224n
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13
Assignments for Stanford CS224n (Winter 2017)
Cs106b_coursework
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12
Coursework for Stanford See CS 106B: Introduction To Computer Science | Programming Abstractions
Cool Compiler
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11
Coursera Course (Stanford CS143)
Cmu_67300
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10
This is the repository for the CMU course 67-300: Search Engines
Jump Start Machine Learning
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10
Resources for starting the Machine learning and Deep learning.
Mmds 001 Homework
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10
Homework questions from the Coursera/Stanford course Mining Massibve Datasets. Question, no answers.
Nlp Stanford
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9
Course programming assignments
Statistical Learning
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9
Machinelearing Homework
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8
UESTC MachineLearning course homework(电子科技大学 《机器学习》课程作业)
Stanford Cs109 Notes
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8
Comprehensive typeset notes for Stanford's CS 109 probability course.
Swift Course
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7
Swift course at e-conomic - fall 2015
Stanford Cs231n 2021 And 2022
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7
Notes and slides for Stanford CS231n 2021 & 2022 in English. I merged the contents together to get a better version. Assignments are not included. 斯坦福cs231n的课程笔记(英文版本,不含实验代码),将2021与2022两年的课程进行了合并,分
Stanford Machine Learning Course On Coursera
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7
In this repository, you will find the lecture slides and programming assignments that i have done during the course.
Cs230_dl
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7
♊ Stanford CS230 : Deep Learning
Cs240lx 20spr
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7
course materials for cs240lx @ stanford
Machine Learning Notes
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7
List of my machine learning notes.
Linearleastsquares.jl
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6
Least squares solver in Julia
Cs231n Solutions
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6
Solutions for CS231n course from Stanford University: Convolutional Neural Networks for Visual Recognition
Stanford Cs223a
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6
Stanford CS223A assignments from SEE (Stanford Engineering Everywhere)
Cs224n Natural Language Processing Solutions
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5
My assignment solutions for the CS224n course offered by Stanford on natural language processing with deep learning.
Algorithms2
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5
Stanford's Algorithms: Design and Analysis, Part 2
Cs229 Ml Assignment
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5
Assignment solution for Coursera course "Machine Learning" by Andrew NG
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