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Arnav Sharma's Projects

android-customtabs icon android-customtabs

Chrome CustomTabs for Android demystified. Simplifies development and provides higher level classes including fallback in case Chrome isn't available on device.

lstm-language-model-with-noise-contrastive-estimation icon lstm-language-model-with-noise-contrastive-estimation

A Language Model built using Long-Short Term Memory (LSTM) Recurrent Neural Network (RNN) for solving the problem of vanishing gradients. Noise Contrastive Estimation (NCE) is used to avoid the softmax normalization at the output layer, which reduces the computation time.

network-intrusion-detection-system icon network-intrusion-detection-system

Intrusion Detection is one of the major concerns in the task of network administration and security. There is a need to safeguard the networks from known vulnerabilities and at the same time take steps to detect new and unseen, but possible, system abuses by developing more reliable and efficient IDS. This is the need of the present and it poses a challenging problem that needs to be solved more efficiently. In this project, the NIDS is developed in two parts – First, to differentiate between normal connection and an intrusion and Second, to find the category of various types of attacks.

rnn-language-model icon rnn-language-model

A Language Model based on Recurrent Neural Network (RNN) built in Python using Theano and Lasagne

supervised-machine-learning icon supervised-machine-learning

Approximation and Classification example problems solved utilizing MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) Neural Networks.

unsupervised-machine-learning icon unsupervised-machine-learning

Implementation of k-means and Fuzzy c-means algorithm on Iris Data Set and images, Akaike and Bayesian Information Criterion, Self Optimising Map, Mean Shift Clustering

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