This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

High-performance runtime for data analytics applications

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Stanford 公开课，Developing iOS 11 Apps with Swift 字幕翻译

Stanford Code From Cars That Entered DARPA Grand Challenges

These are the lectures, slides, reading assignments, and problem sets for the 'Developing iOS 10 Apps with Swift' CS193p course offered at the Stanford School of Engineering and available on iTunes U.

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Stanford 公开课，Developing iOS 10 Apps with Swift 字幕翻译

Complete solutions for Stanford CS224n, winter, 2019

an Open Course Platform for Stanford CS224n (2020 Winter)

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Stanford Open Information Extraction made simple!

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Example Test Cases for Stanford's Algorithms Coursera Specialization

The course notes for Stanford's CS231A course on computer vision

My completed implementation solutions for CS224N 2019

CS 253 Web Security course at Stanford University

These are the lectures, slides, reading assignments, and problem sets for the Developing Apps for iOS 11 with Swift 4 CS193p course offered at the Stanford School of Engineering and available on iTunes U.

Computer-Assisted Reporting and Data Journalism Syllabuses, compiled by Dan Nguyen

A pythonic wrapper for Stanford CoreNLP.

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

Automatically labeling training data

A curated list of University CS Resources

Implementation of the paper: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Stanford Named Entity Recognizer (NER) - Python Wrapper

"How to Start a Startup" is the Y Combinator class made by real entrepreneurs

Full solutions for fall1617 iteration of Stanford course CS131: Computer Vision Foundations and Applications

This repo holds my solutions (in python) for the programming assignments of the Coursera course Algorithms - Design and Analysis (Stanford)

Notebook for quick search

Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)