Discover ritchieng/NumNum Open Source project

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Rank 645,449 (Top 13 %)
Language
Python
License
MIT License
Created about 8 years ago
Updated about 8 years ago

ritchieng

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Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.

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Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

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Wide Residual Networks implemented in TensorLayer and TensorFlow.

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This contains all the practices for the lectures, custom answers to the assignments and additional inline notes for "Python for Everybody Specialization" on Coursera by the University of Michigan.

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Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.

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Detailed notes and code to learn the basics of machine learning with scikit-learn.

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docker-containers

Dockerfile

ritchieng/NumNum

ritchieng

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