deruhat/AutoAugment-Urban

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4
Rank 3,304,323 (Top 66 %)
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Jupyter Notebook
License
MIT License
Created over 6 years ago
Updated over 6 years ago

deruhat/AutoAugment-Urban

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

NIvsCG-keras

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

Image-Classification

Naive Bayes, Perceptron and MIRA machine learning algorithms for classifying digits and faces.

Fastai-Notebooks

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

Jupyter Notebook

Trash-Material-Classification

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

Jupyter Notebook

FileSystem

Impelementation of a simple Linux file system in FUSE

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.

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

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.

Regression-Algorithms

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