🌀 Stanford CS 228 - Probabilistic Graphical Models
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Updated
Jan 15, 2019 - 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.
A Python API for Stanford's Explore Courses
Stanford University cs224N course. Deep Learnign with NLP. Solutions in Python3.6
Dedicated to Code in Place Spring 2021 with Stanford University or to those who are interested to learn Python for the first time
Vectorized general particle swarm optimization code using python.
Karel Codes
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
Notes and Assignment solutions for Stanford CS330 (Autumn 2023 & 2024) Deep Multi-Task and Meta Learning
Stanford University Code In Place '21
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.
Final project for Winter 2017 CS224n class
Machine Learning Course by Stanford University
Work on python scripting in SimVascular Jun 02, 2019 Intermediate Release at the Cardiovascular Biomechanics Computation Lab at Stanford University School of Medicine
Program stores the data entered by the user into a JSON file, so once when the user terminates the program and runs it again all he can access all the contacts he saved on the last iteration of the program.
The repository contains all the assignments, projects, and handouts that are given during Stanford's CodeinPlace Program, 2020.
Solutions to the Stanford CS:234 Reinforcement Learning 2022 course assignments.
CS106A, this course was offered during the 2020 Pandemic and approx. 10k people from all over the world got shortlisted for this course.
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