Harshit Samani (HarshitSamani)

HarshitSamani

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Company:Indian Institute of Science

Location:Bengaluru

Home Page:linkedin.com/in/harshit-samani-a914b11b5

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Harshit Samani's repositories

Bayes-and-Nearest-neighbourhood-Classifier

In this repository, we will explore and compare different methods of classifiers such as Bayes classifier and Nearest Neighbour classifier.

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Duckworth-Leiws-method

In this Repository, we build a model to predict the target score for chasing team given no. of remaining overs and wickets in hand.

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early-stopping-pytorch

Early stopping for PyTorch

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Fashion-MNIST-classification

In this repository, We build Multilayer perceptron and Convolutional Neural network models using Fashion-MNIST data.

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Linear-Algebra-Algorithms

In this repository, various Linear algebra algorithms have been implemented from scratch.

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Linear-classification-and-Regression

In this repository, we will explore linear models and compare different methods of learning linear classifiers and regression functions.

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Link-Prediction-for-Social-Networks

In this repository, we will explore various methods to predict the new link for a given Social network.

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Natural-Language-Inference

In this repository, we deal with the task of implementing Natural Language Inferencing (NLI) using the SNLI dataset. Different methods such as BiLSTM, BiGRU, Attention models and Logistic Regression are experimented.

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Spoken-Keyword-spotting

In this repository, we explore using a hybrid system consisting of a Convolutional Neural Network and a Support Vector Machine for Keyword Spotting task.

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Polynomial-Arithmetic

In this repository, we perform addition and miultiplication of polynomials represented in memory with the doubly linked lists.

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Speech-Music-Classification

In this repository, We trained Gaussian Mixture Models each for Speech and Music data to capture underlying distribution. We further use simple Bayes classifier to classify the unseen data.

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SVM-and-Neural-Networks

In this repository, we will explore and compare different methods of learning non-linear classifiers such as SVMs and Neural Networks.

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