Highlights
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Deep_Learning_Recommender_System
Deep_Learning_Recommender_System PublicExplore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
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Probabilistic_Programming_Project
Probabilistic_Programming_Project PublicUse Edward prob. prog. framework and Tensorflow to model NYC taxi trip time via Gaussian Processes
Jupyter Notebook
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MMA_Fighter_PostgreSQL_Database
MMA_Fighter_PostgreSQL_Database PublicQuick & dirty web app supported by a PostgreSQL database backend and hosted on a Google Cloud Ubuntu virtual machines. Built in Python with Psycopg2, Flask, Jinja, and SQLAlchemy frameworks.
Python
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Multi-Arm_Contextual_Bandit_Problem
Multi-Arm_Contextual_Bandit_Problem PublicPython implementation of Lihong Li (2012) Linear UCB Algorithm for Disjoint Linear Models
Jupyter Notebook 5
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ParticleThompsonSamplingMAB
ParticleThompsonSamplingMAB PublicMulti-Arm Bandits for online recommendations via Particle Thompson Sampling with Probabilistic Matrix Factorization
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cpptext
cpptext PublicCpptext incorporates OpenMP compiler-level loop parallelization with Boost Filesystem/Program Options libraries to create a fast, multithreaded C++ text processing library
C++
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