hanhan's repositories

Hanhan-Spark-Python

Used Spark core python, Spark sql, Spark MLlib, Spark Streaming

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Hanhan_Data_Science_Resources

helpful resources for (big) data science

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Hanhan_Data_Science_Practice

data analysis, big data development, cloud, and any other cool things!

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Hanhan_CyberSecurity_DataScience

Applied data science in cyber security

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Hanhan_Data_Science_Resources2

more data science resources

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Hanhan_NLP

NLP research and implementation

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Hanhan_Applied_DataScience

Applied data science recommendations and tutorials

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Hanhan_Play_With_Social_Media

play with social media and data mining

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Hanhan_My_Career_Timeline

Record detailed career development, skills built along my journey, in Hanhan's style!

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Hanhan_AWS

using AWS

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Hanhan_COLAB_Experiemnts

Experiements using Google COLAB

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Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

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dpart

dpart: General, flexible, and scalable framework for differentially private synthetic data generation, developed by hazy.

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foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

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greykite

A flexible, intuitive and fast forecasting library

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Hanhan_Conference_Notes

Notes for all the conferences from where learned a lot

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Hanhan_Penetration_Testing_Practice

Penetration Testing looks so cool! I also want to learn it!

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Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

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luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

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machine-learning-models

Relevant machine learning techniques.

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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mlflow-example

An example MLflow project

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ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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roughViz

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

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tiler

πŸ‘· Build images with images

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