xsysth's repositories

Deep-Learning-from-Google-on-Udacity

A mooc of Deep Learning on Udacity 2016 : https://classroom.udacity.com/courses/ud730

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Computational-Geomerty

A programming task of Computational Geometry course.

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Machine-Learning-Specialization-of-Washington-University-2016

This is a mooc on Coursera of Machine Learning Specialization of Washington University which I taken since 12, 2015

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Fundamentals-of-Computing-of-Rice-University-

this is a mooc on coursera Fundamentals of Computing of Rice University

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tensorflow

Computation using data flow graphs for scalable machine learning

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Machine-Learning-Specialization-of-Washington-University

A mooc specialization course of machine learning on coursera.

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One-Shot-Learning-Demo

One-Shot Learning Demo for Fresh Machine Learning #1

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Robotics_Aerial-Robotics

This repository contains notes and assignment for the University of Pennsylvania/Coursera in the Robotics Specialization: Aerial Robotics. If you are student in this course, please do not plagiarize this work as it violates the Honor Code.

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kaggle-Rain

Winning solution to the Kaggle competition - How Much Did It Rain? II

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

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VQAbaseline

Simple Baseline for Visual Question Answering

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cnn_head_detection

Code for ICCV 2015 paper "Context-aware CNNs for person head detection"

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clstm

A small C++ implementation of LSTM networks, focused on OCR.

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CF2

Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)

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faster_rcnn

Faster R-CNN

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annabell

A cognitive neural architecture able to learn and communicate through natural language

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convnet-benchmarks

Easy benchmarking of all public open-source implementations of convnets

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test-repo

this is a test repo

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neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

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StandfordMachineLearning

Coursera Andrew Ng Machine Learning

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Standford-UFLDL

the code of Unsurpervised Feature Learning and Deep Learning of Standford

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StockInference-Spark

Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.

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keras_monet

example of using LSTM Networks to generate Monet - like paintings

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ntm

An implementation of Neural Turing Machines

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kaggle-ndsb

Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)

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congressional-district-boundaries

GIS boundaries in GeoJSON format for all US Congressional Districts, 1789 to 2012

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daubechies_wavelet_coefficients

Daubechies wavelet coefficients(db2 - db99)

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FlappyBirdRL

Flappy Bird hack using Reinforcement Learning

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