Bin Wang's repositories

binwangREPO

first repository bin created for github

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sc1x

supply chain fundamentals from MIT EDX

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amazon-sagemaker-examples

This is a fork of AWS Sagemaker examples, not only learning how to use AWS, but also go through the notebooks and familiarize myself with other AI applications.

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awsarmy

a simple distribution framework to distribute work to a dozen of AWS boxes using python flask,boto..etc.

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blog

this is a repo that contains the source code captured in my personal blog datafireball.com

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chrome_notes

a chrome plugin to take notes and storage the notes locally

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Cordova-Examples

A collection of Cordova/Ionic/etc demos.

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cryptography

this is a repository where I store code for the Coursera class cryptography from Standford University and all the related fun staff :)

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dejavu

Audio fingerprinting and recognition in Python

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depreciation

This is a repository with some interesting code to analyze the production depreciation along with time

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gpu

a repository that stores some random code about gpu programming code that I have written.

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h2o-world-2014-training

training material

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imageProcessing

This is a project where I implement some basic image processing techniques for fun!

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inventory

some code to analyze inventory performance at large scale

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lancome

lancome make up

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mlaas

This is repository where I document all the tools to build a machine learning as a service (RESTful).

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mysolr

a repo where stores code related with solr

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nnml

Coursera Class "Neural Network for Machine Learning" offered by Toronto University instructed by Geoffrey and his students

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pykitti

Python tools for working with KITTI data.

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rubic

this is entertaining project that I will write some code to solve a rubic cube

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scala

This is a repository stores all my scala code

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stylegan

StyleGAN - Official TensorFlow Implementation

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sudoku

solution to solve sudoku programmatically

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svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

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tensorflow_studynote

study notes about tensorflow, many ipython notebook with sample code to demonstrate the use cases

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trafficSignals

A data visualization on the traffic signals in Denver

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ud810

self learning material related for the udacity computer vision class taught by irfan

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udemy_reinforcement_learning

some python code written while taking the course

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