Pinned Repositories
Artificial-Intelligence
This repository contains my projects from the course CS520-Aritifial Intelligence. All the problems are implemented in python from scratch, without using any external libraries.
Capsule-Networks
Tensorflow and Keras implementation of capsule networks and CNN for the task of image classification using MNIST digits dataset and CIFAR-10.
Gated-Attention-Network
PyTorch implementation of the Gated Attention Network for text classification. Comparison of the model with BiLSTM and soft attention models using IMDb and TREC dataset.
Global-Terrorism-Visualization-and-Analysis
Interactive dashboard displaying various trends and analysis using Global Terrorism dataset. The visualizations and interactive features are created using D3.js, Plotly and Amcharts.
IT562_Team404_DA-IICT
Book recommendation system project under Prof. Sourish Das Gupta
lstm_deepdive
Insights into LSTMs, their API and data feeding mechanism
Massive-Data-Mining
Coursework for CS550 : Massive Data Mining. Topics covered include Map-Reduce, Association Rules, Frequent Itemsets, Locality-Sensitive Hashing (LSH), Singular Value Decomposition (SVD), Page Rank, k-means, Modularity, Spectral Clustering, Clique-based communities, Clustering Data Streams.
Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
Natural-Language-Processing
Language modeling, LSTM, Attention models, Transformers, Parsing and Tagging in NLP, EM algorithm, Auto-encoders implemented in Python using PyTorch. The assignments are part of the course Natural Language Processing.
Probability-and-Statistical-Inference
Coursework for CS581 : Probability and Statistical Inference.
prakruti-joshi's Repositories
prakruti-joshi/Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
prakruti-joshi/Gated-Attention-Network
PyTorch implementation of the Gated Attention Network for text classification. Comparison of the model with BiLSTM and soft attention models using IMDb and TREC dataset.
prakruti-joshi/Massive-Data-Mining
Coursework for CS550 : Massive Data Mining. Topics covered include Map-Reduce, Association Rules, Frequent Itemsets, Locality-Sensitive Hashing (LSH), Singular Value Decomposition (SVD), Page Rank, k-means, Modularity, Spectral Clustering, Clique-based communities, Clustering Data Streams.
prakruti-joshi/Capsule-Networks
Tensorflow and Keras implementation of capsule networks and CNN for the task of image classification using MNIST digits dataset and CIFAR-10.
prakruti-joshi/Global-Terrorism-Visualization-and-Analysis
Interactive dashboard displaying various trends and analysis using Global Terrorism dataset. The visualizations and interactive features are created using D3.js, Plotly and Amcharts.
prakruti-joshi/Natural-Language-Processing
Language modeling, LSTM, Attention models, Transformers, Parsing and Tagging in NLP, EM algorithm, Auto-encoders implemented in Python using PyTorch. The assignments are part of the course Natural Language Processing.
prakruti-joshi/lstm_deepdive
Insights into LSTMs, their API and data feeding mechanism
prakruti-joshi/Artificial-Intelligence
This repository contains my projects from the course CS520-Aritifial Intelligence. All the problems are implemented in python from scratch, without using any external libraries.
prakruti-joshi/IT562_Team404_DA-IICT
Book recommendation system project under Prof. Sourish Das Gupta
prakruti-joshi/Probability-and-Statistical-Inference
Coursework for CS581 : Probability and Statistical Inference.
prakruti-joshi/Reinforcement-learning-algorithms