Stanford Code

Classes:

1. cs144: Introduction to Computer Networking
2. cs148: Introduction to Computer Graphics and Imaging
3. cs348c: Computer Graphics: Animation and Simulation
4. cs224n: Natural Language Processing with Deep Learning
5. cs231n: Convolutional Neural Networks for Visual Recognition
6. cs238: Decision Making under Uncertainty
7. cs229: Machine Learning

Projects:

1. cs144/tcp: Implementation of a reliable, stop-and-wait and sliding window transport layer on top of the IP layer
2. cs144/router: Implementation of a router configured with a static routing table and a NAT that can handle ICMP and TCP
3. cs148/project: Mario-style game written in OpenGL including coins and enemies
4. cs348c/project: Production-quality fluid simulation on the GPU using OpenCL
5. cs224n/project: End-to-end neural network architecture for the SQuAD task that combines ideas from several recently proposed architectures: Match-LSTM, Dynamic Co-attention, and Pointer Networks
6. cs231n/project: End-to-end neural network model for generating the sound of a musical instrument based on a silent video of it being played
7. cs238/project: A Twitter bot to target and engage users of specific political viewpoints with content that they may disagree with using Q-learning
8. cs229/project: Project to find influencers within fuzzy topics on Twitter using a variant of LDA