mansi-k

Stutter-Therapy

Developed and trained Gated-CNN models to detect types of stutter in speech and SVM classifier to suggest new therapies to the user according to his stutter type and severity

Basic_GANs

Implemented and experimented with GAN, Conditional GAN and Deep-Convolutional GAN on various datasets for comparison, learning and demonstration purposes

LogisticReg

Implemented logistic regression from scratch to train on sign language digits dataset and titanic dataset using one-vs-one and one-vs-all algorithms

SiameseNet

Implemented and trained Siamese network for image classification using contrastive loss, triplet loss and regularized cross-entropy loss

AOS_reports

Reports on various topics in Advanced Operating Systems

AutoEncoder

Implemented and trained an Auto-encoder to reconstruct images, compared them with images reconstructed using PCA and conducted various experiments using PyTorch

BackPropagation

Implemented back-propagation algorithm on a neural network from scratch using Tanh and ReLU derivatives and performed experiments for learning purpose

clothing_recommender

CNN_classifier

Implemented and trained CNN using PyTorch, to classify images and performed transfer learning using VGG16

DSA_Programs

earthquake_prediction

ETL_training_ppts

exp_supervisely_app

FIFA_Clustering

Performed KMeans, Agglomerative, Divisive, DBSCAN clustering on FIFA dataset along with outlier detection and cluster analysis

GradientDescent

Implemented gradient descent algorithm and its variants from scratch and visualized their results by training models, for comparison and learning purposes

KMeans_on_imgs

Implemented KMeans from scratch and trained it on Fashion-MNIST dataset by experimenting with initializaion methods like forgy, random partitions, kmeans++ and found the optimal number of clusters by implementing elbow & silhouette algorithms from scratch

LA_report

A comprehensive report on applications of sparse matrices and various operations performed on them to explore and analyze social networks

mansikhamkar

IIITH - SSD Assignment 2 - Portfolio webpage

MLP_classifier

Implemented a fully functioning Multi-Layer-Perceptron classifier for image classification and conducted various experiments using PyTorch

module-upscaler

module_trial

multiway2P_mergesort

Implemented the two-phase merge sort algorithm to sort a large number of records

PHP_workshop

Simple PHP webpages created for teaching purposes

PySpark_MapReduce

Implemented programs for searching in a dataset using Spark architecture to enable distributed search

RNN_LSTM

Implemented RNN and LSTM networks using PyTorch and trained them to classify numerical sequences to compare and analyze their performance on detecting long term dependencies and temporal order in the input sequences

Social-Champ

Performed data retrieval from Facebook and Twitter feeds. Filtered and ranked social influencers, considering various aspects, who could help in promoting NGOs.

SortMerge_Join

Implemented the two-phase merge sort algorithm to sort and then join 2 large SQL relations

topical_chat_tasks

wikipedia_search_engine

word2vec