Explore Projects
Discover 37 open source projects
Showing 21-37 of 37 projects
eikek/docspell
A self-hosted document management system that helps organize documents from various sources.
cgpotts/cs224u
This is a repository for the code used in the Stanford CS224u course, focused on natural language processing.
coursera-dl/edx-dl
A simple Python tool to download video lectures from edX and other OpenEdX-based online learning platforms.
snap-stanford/GraphGym
A platform for designing and evaluating Graph Neural Networks (GNNs) using Python.
dipanjanS/text-analytics-with-python
A powerful Python library for advanced text analytics, including classification, clustering, summarization, and sentiment analysis.
stanfordnlp/cs224n-winter17-notes
Course notes for a Stanford NLP course, not a developer discovery platform focused on vibe coders.
gururise/AlpacaDataCleaned
A cleaned and curated version of the Alpaca dataset from Stanford, useful for machine learning projects.
mbadry1/CS231n-2017-Summary
A summary of the famous Stanford CS231n deep learning course, focused on helping developers learn and remember the material.
stanford-oval/WikiChat
WikiChat is an improved Retrieval Augmented Generation (RAG) model that reduces language model hallucination by retrieving data from a corpus.
0voice/computer_expert_paper
A curated collection of 1,000+ computer science research papers from top universities and tech companies.
Danau5tin/multi-agent-coding-system
A multi-agent coding system that uses intelligent context sharing to orchestrate coders, explorers, and other agents.
stanford-cs336/assignment1-basics
A student assignment for building language models from scratch in Python.
real-stanford/universal_manipulation_interface
Universal Manipulation Interface: A Python library for teaching robots without real-world robots.
Apollonyan/Developing-iOS-11-Apps-with-Swift
This GitHub repository contains the Chinese subtitles for the Stanford course 'Developing iOS 11 Apps with Swift'.
atinesh/Coursera-Machine-Learning-Stanford
This is a repository for the Machine Learning course from Stanford University on Coursera.
kuleshov/teaching-material
Teaching materials for machine learning and deep learning classes at Stanford and Cornell.
snap-stanford/pretrain-gnns
Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.
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