deruhat/Fastai-Notebooks deruhat/Fastai-Notebooks

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    Jupyter Notebook
  • Created over 6 years ago
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deruhat/Fastai-Notebooks
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Repository Details

Notebooks using the fast.ai library for deep learning research.

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1

NIvsCG-keras

Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.
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AutoAugment-Urban

PyTorch AutoAugment policies implemented by Philip Popien and tested on urban images.
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Image-Classification

Naive Bayes, Perceptron and MIRA machine learning algorithms for classifying digits and faces.
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Trash-Material-Classification

In search of the best and most efficient approaches to image classification suitable for trash material classification, applied on benchmark datasets.
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FileSystem

Impelementation of a simple Linux file system in FUSE
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MapReduce-for-AWS-EMR-Cluster

MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a Hadoop cluster.
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7

ServerClient-TCP-UDP

A server and client program using java, includes TCP and UDP transport protocols, in addition to pure streaming and stop-and-wait acknowledgement protocols
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8

Vector-Representations

A program in which the user can choose a word or a sentence and the program will look through all of the data provided by GloVe to find the 5 nearest neighbors of that word using cosine similarity. This implies that these words are similar in meaning and/or general context.
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9

Regression-Algorithms

Batch Gradient Descent, Stochastic Gradient Descent and Maximum Likelihood Estimation using Python.
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