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Zhu JIN's Projects

anet2016-cuhk icon anet2016-cuhk

Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

bayes-nn icon bayes-nn

Lecture notes on Bayesian deep learning

bitcoinbook icon bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Spark, Hadoop MapReduce, HDFS, Kaggle, deep learning (TensorFlow, Theano, Caffe), scikit-learn, matplotlib, pandas, NumPy, SciPy, AWS, and various command lines. https://bit.ly/data-notes

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

nearpy icon nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

ope icon ope

Posterior inference in topic models with provably guaranteed algorithms

pycraft icon pycraft

A fork of "Minecraft in 500 lines of python" intended to be used as a real engine, instead of as a learning example.

pymc icon pymc

PyMC: Bayesian Stochastic Modelling in Python

siggraph2016_colorization icon siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

statsintro_python icon statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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