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artificial-intelligence

CSE 537 Artificial Intelligence - Fall 2016 - Stony Brook University

attention-lstm

Implementation of an LSTM using attention for Recognizing Textual Entailment using the SICK dataset.

avltree

AVL tree implementation for analyzing text in large files.

book-recommendation

OMSA DVA Project

clinical-depression-study

Python data analysis and machine learning models for a clinical depression medication study.

computer-vision

CSE 527 Computer Vision - Fall 2017 - Stony Brook University

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

data-science

CSE 519 Data Science - Fall 2017 - Stony Brook University

deep-learning

Implementations of a variety of classic deep learning architectures for problems such as object recognition, sentiment analysis, word embeddings, etc.

deep-learning-book

Implementations for problems and examples found in "Hands-On Machine Learning with Scikit-Learn & Tensorflow"

deep-q-network

Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.

demorgan

Logical expression translator to equivalent complement expression using a syntax directed translation scheme.

designpatternsphp

sample code for several design patterns in PHP

hadoop

Hadoop Practice

har-analyzer

CSE 534 - Spring 2017: Measuring Mobile Centric Performance and Adoption Rates

iceberg

A place to meet people and share projects

invoice-processing

logic-programming

CSE 505 Computing with Logic - Fall 2016 - Stony Brook University

logicalhmm

Probabilistic Prolog (PRISM) implementation of Logical Hidden Markov Model, a generalization of HMMs using logic variables.

machine-learning

CSE 512 Machine Learning - Spring 2017 - Stony Brook University

mininet

CSE 534 - Spring 2017 - Stony Brook University: Implementation of Distributed Bellman-Ford Distance Vector Protocol

morphobank

Implementation of a Morphobank file parser and learner for exploratory clustering of the data.

motion-prediction

PyTorch implementation of Spatio-temporal Transformers for 3D Motion Prediction.

neural-state-classification

Neural network approach to the state classification problem using 1D CNNs implemented with Keras. (ATVA 2018)

p-99-ninety-nine-prolog-problems

My attempt at solving these problems found at http://www.ic.unicamp.br/~meidanis/courses/mc336/2009s2/prolog/problemas/

parser

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penn-treebank-to-prism

Parses PCFG trees from Penn WSJ Corpus and translates results to PRISM programs for modeling.

relation-networks

Keras implementation of Relation Networks for Visual Question Answering using the CLEVR dataset.

research-proficiency-examination

"Probabilistic Logic and Deep Learning" written as partial fulfillment for my Advancement to Candidacy as a PhD student at Stony Brook University.

selfstabilization

Implementation of a probabilistic fault containment algorithm. Results presented in PACISE 2015.