neilbarooah Goto Github PK

arrays-strings

Exercises in arrays and string manipulation

breast-cancer-detection-sl

Machine Learning models to predict breast cancer in patients based on the characteristics of cell nucleus obtained from digitized images of a fine needle aspirate of breast masses. I used neural networks, k-nearest neighbors, boosting, SVM, and decision trees to build the prediction models.

breast-cancer-detection-ul

Unsupervised learning ML models to predict breast cancer in patients. This involves a combination of clustering (expectation maximization and k-means) and dimensionality reduction (principle component analysis, independent component analysis, randomized projections, and information gain) in the context of machine learning.

buzz-movie-selector

Movie Referral Android app

chess

Chess game coded in Java from a long time ago

codeu_project_2017

coreference-resolution

Rule-based coreference resolution system using a feedforward network and fully-neural architecture with embeddings for coref in PyTorch.

data-structures-algorithms

My implementation of various data structures and algorithms

dependency-parsing

Deep transition dependency parser to parse English and Norwegian text. This involves implementing an arc-standard transition-based dependency parser in PyTorch, computing word embeddings, implementing neural network components for choosing actions and combining stack elements.

deque-in-c

My implementation of a deque in C

eclipse-ide-design-review

furious-7

Played around with IPRE robots and programmed them in Python to shoot a short movie (my representation of Furious 7)

galaga

My implementation of the shooter arcade game Galaga in C

google-map-react

universal google map react component, allows render react components on the google map

gt-train

Train reservation standalone application using Python

guess-the-spot

linked-lists

Exercises in linked lists

malloc-implementation

matlab

Fun exercises using MATLAB from a long time ago

openhousewalkthru

Web application to simplify the house hunting experience

randomized-optimization

Analysis of the strengths and weaknesses of randomized optimization techniques such as randomized hill climbing, simulated annealing, genetic algorithm and mutual information maximizing input cluster (MIMIC) on the breast cancer dataset, traveling salesman problem, four peaks problem and continuous peaks problem.

react-google-maps

React.js Google Maps integration component

recursion-in-assembly

reinforcement-learning

Analysis of the strengths and weakness of policy iteration, value iteration and Q-learning on a variety of reinforcement learning problems such as the Maze, Four Rooms and Grid World.

reliable-data-transfer

A program to efficiently route large files between a sender and receiver using UDP protocol in a large network of hosts. The different aspects of the project involved peer discovery, churn and keep-alive mechanism, round-trip time measurements, optimal ring formation, ensuring reliable data transfer (for instance, efficiently re-routing packets in cases of offline hosts, ensuring data integrity, minimal data loss etc).

sequence-labeling

Sequence labeling with Hidden Markov models and Deep Learning models on parts-of-speech tagging on English and Norwegian language from the Universal Dependencies dataset. In order to do this, I implemented a Viterbi classifier using Hidden Markov Model, a Bi-LSTM deep learning model and a Bi-LSTM CRF model.

tensorflow

Computation using data flow graphs for scalable machine learning

text-classification

Text classification tool to automatically classify song lyrics by era. This includes building machine learning classifiers based on the generative model (Naive Bayes), the discriminative model (Perceptron) and a logistic regression classifier.

trees-graphs

Exercises in trees and graphs

vischef

A recipe app that uses image recognition to identify ingredients and suggest relevant recipes