Cornell Data Science
A Cornell project team that gives students hands-on experience with data analytics and machine learning.
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Repositories
Showing 10 of 133 repositories
- compilAR Public
- adaptive-cache Public
This project designs, implements, and rigorously evaluates a learned cache eviction policy within a custom-built cache system, benchmarking its performance against traditional heuristics across diverse workload patterns.
- distributed-downloader Public
LAN-first peer-to-peer distributed downloader for game/software installs and updates
- world-wide-web-2 Public
World Wide Web 2 teaches an AI to browse the web by training it inside a learned simulator instead of a real browser. This makes training much faster and lets the agent learn from far more practice without needing live websites.
- geometry-dash-rl Public
- image-watermarking Public
- info1998 Public
- quantization-on-edge Public
Python ONNX implementation of quantization techniques on machine learning models deployed to a Jetson Nano edge device.
- world-wide-web Public
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