ag-pom's repositories

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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all-things-java

Collection of links on Java - tech talks/ sites/ advanced topics

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awesome-courses

List of awesome university courses for learning Computer Science!

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CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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datasharing

The Leek group guide to data sharing

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Deep-Learning-From-Scratch

Six snippets of code that made deep learning what it is today.

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Generative-Adversarial-Networks-Projects

Generative Adversarial Networks Projects, published by Packt

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lambda-ml

A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.

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learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

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Machine-Learning

Examples and experiments around ML for upcoming Coding Train videos

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math-science-video-lectures

List of Science courses with video lectures

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netbox

IP address management (IPAM) and data center infrastructure management (DCIM) tool.

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nmap

Nmap - the Network Mapper. Github mirror of official SVN repository.

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onos

Open Network Operating System

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pro-machine-learning-algorithms

Source Code for 'Pro Machine Learning Algorithms' by Kishore Ayyadevara

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quantum-python-lectures

A series of self-study lectures on using Python for scientific computing at the graduate level in atomic physics and quantum optics.

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QuantumComputing

This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.

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sage

Mirror of the Sage source tree -- NO PRs! -- everything must be submitted via https://trac.sagemath.org/

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scikit-learn

scikit-learn: machine learning in Python

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stat-cookbook

:orange_book: The probability and statistics cookbook

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tensorflow

Computation using data flow graphs for scalable machine learning

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