Ajay Singh (ajnovice)

ajnovice

Geek Repo

Company:The University of Texas,Dallas

Location:Dallas,Texas

Home Page:https://stackoverflow.com/users/5825372/ajay-singh

Twitter:@ajnovice

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Ajay Singh's repositories

free-programming-books

:books: Freely available programming books

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Awesome-Hacking

A collection of various awesome lists for hackers, pentesters and security researchers

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DublinDataEngineering

The Open Source resources in Data Engineering, Machine Learning, Data Science areas, inspired by [The Open-Source Data Science Masters] (http://datasciencemasters.org/).

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paraphrase-id-tensorflow

Various models and code for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

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PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

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quick-ml-intro

One hour interactive training for ML with scikit-learn

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Automatic_Speech_Recognition

End-to-end automatic speech recognition from scratch in Tensorflow(从头实现一个端对端的自动语音识别系统).

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tf-workshop-series

Code, Slides, & Materials for our Tensorflow Workshop Series

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deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

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algorithms

Minimal examples of data structures and algorithms in Python

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BEGAN-tensorflow

Implementation of BEGAN in Tensorflow

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awesome-deep-learning-papers

The most cited deep learning papers

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python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

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lectures

Oxford Deep NLP 2017 course

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Practical_RL

A course in reinforcement learning in the wild

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kaggle-cli

An unofficial Kaggle command line tool.

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RNN-Tutorial

Recurrent Neural Networks - A Short TensorFlow Tutorial

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Python

It contains the algorithmic code written in python

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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Stream-Framework

Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:

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hol-azure-machine-learning

Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage

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Fundamentals-of-Deep-Learning-Book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

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tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

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typeahead.js

typeahead.js is a fast and fully-featured autocomplete library

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duckduckgo

DuckDuckGo Instant Answer Infrastructure

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Ghost

Just a blogging platform

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