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University of Maryland
- Maryland, US
- kw-lee.github.io
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What scientific programmers must know about CPUs and RAM to write fast code.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Studies in Computational Linguistics 1 at Dept. of Linguistics of Seoul National University
A highly efficient implementation of Gaussian Processes in PyTorch
A curated list of awesome alfred workflows
Make any web page a desktop application
Tensors and Dynamic neural networks in Python with strong GPU acceleration