🌲 Stanford CS 228 - Probabilistic Graphical Models
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Updated
Aug 30, 2024 - Python
🌲 Stanford CS 228 - Probabilistic Graphical Models
Solutions for CS224n course from Stanford University: Natural Language Processing with Deep Learning
Stanford University offered CS106A course in the form of '"Code in Place" during the COVID-19 pandemic.
Karel Codes
A Python API for Stanford's Explore Courses
The Mini Library System is a text-based Python application that simulates a basic library management tool. Users can add new books, view the list of available or borrowed books, borrow and return books, and save all records locally using file storage. This project was built as part of the final assignment for Code in Place 2025 (Stanford CS106A).
Dedicated to Code in Place Spring 2021 with Stanford University or to those who are interested to learn Python for the first time
Stanford University cs224N course. Deep Learnign with NLP. Solutions in Python3.6
Notes and Assignment solutions for Stanford CS330 (Autumn 2023 & 2024) Deep Multi-Task and Meta Learning
Vectorized general particle swarm optimization code using python.
A virtual reincarnation of Mark Zuckerberg encapsulated in a desktop application built on Python.
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System
In this assignment we are going to make a baby version of the classic Atari game of Snake. It was famously shipped on the original Apple II computers as well as Nokia phones.
Stanford University Code In Place '21
Repo for Stanford CS 242 Programming Languages Fall 2022 with Prof. Aikens
Solutions to the Stanford CS:234 Reinforcement Learning 2022 course assignments.
Final project for Winter 2017 CS224n class
Work on python scripting in SimVascular Jun 02, 2019 Intermediate Release at the Cardiovascular Biomechanics Computation Lab at Stanford University School of Medicine
Stanford University Code in Place 2025
Stanford's CS106A course resources for Code in Place 2025
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