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Name: Patrick Hagan
Type: User
Bio: Since 2015, I have been intensely studying ML, R, Python, Spark, Hadoop, DL, and now AI to expand my technology horizons past my mainframe expertise.
Location: New York City
Name: Patrick Hagan
Type: User
Bio: Since 2015, I have been intensely studying ML, R, Python, Spark, Hadoop, DL, and now AI to expand my technology horizons past my mainframe expertise.
Location: New York City
Reinforcement learning resources curated
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Lane Finding Project for Self-Driving Car ND
Essential Cheat Sheets for deep learning and machine learning researchers
fast.ai Courses
Data-Science-Project-for-Platform-Per-Scholas contains resources for creating the Case Study for the Data Engineering course given by Platform Per Scholas.
A mindmap summarising Deep Learning concepts.
Deployment checklist for securely deploying Docker
Docker build for Apache Spark
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
TensorFlow tutorials and best practices.
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.
ggplot port for python
WoK plugin for host management
Gingerbase: basic host management for WoK
Wok plug-in focused in s390x management
Cloned from "https://github.com/PacktPublishing/Hands-On-Explainable-AI-XAI-with-Python"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
CLI HTTP client, user-friendly curl replacement with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc.
An HTML5 management interface for KVM guests
Source code repository for my book "Learning Go Programming"
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
machine learning and deep learning tutorials, articles and other resources
implementations of machine learning algorithms in Matlab/Octave
Mastering spaCy, published by Packt
The practice exercises and examples in the book 'Mastering Git' published by Packt Publishing
This project is cloned from https://github.com/PacktPublishing
Config files for my GitHub profile.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.