Patrick Hagan (phagan94)

phagan94

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Location:New York City

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Patrick Hagan's repositories

PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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xzceb-flask_eng_fr

flask_enf_fr

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Mastering-spaCy

Mastering spaCy, published by Packt

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pyformat.info

Single page cheat-sheet about Python string formatting

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phagan94

Config files for my GitHub profile.

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Hands-On-Explainable-AI-XAI-with-Python

Cloned from "https://github.com/PacktPublishing/Hands-On-Explainable-AI-XAI-with-Python"

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Python-ML-CookBook

Just import the PacktPublishing / Python-Machine-Learning-Cookbook repository for study.

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Opencv3-Python3-book-and-codes-

This project is cloned from https://github.com/PacktPublishing

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Team-U.github.io

An unofficial group of Udacity Alumni and Grow with Google Scholars staying connected through code and collaboration

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Data-Science-Project-for-Platform-Per-Scholas

Data-Science-Project-for-Platform-Per-Scholas contains resources for creating the Case Study for the Data Engineering course given by Platform Per Scholas.

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kimchi

An HTML5 management interface for KVM guests

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wok

A cherrypy framework for multi-purpose plug-ins

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machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

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gingerbase

Gingerbase: basic host management for WoK

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ginger

WoK plugin for host management

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

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mastering_git

The practice exercises and examples in the book 'Mastering Git' published by Packt Publishing

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EffectiveTensorflow

TensorFlow tutorials and best practices.

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ggpy

ggplot port for python

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cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

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courses

fast.ai Courses

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GAN-Sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

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learning-go

Source code repository for my book "Learning Go Programming"

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tensorflow

Computation using data flow graphs for scalable machine learning

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gingers390x

Wok plug-in focused in s390x management

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