colby-j-wise Goto Github PK
Name: Colby Wise
Type: User
Bio: BS Finance | Statistics @ ASU (Go Devils) MS Computer Science @ Columbia
Colby Wise's Projects
convolutional_neural_network
Implementing a CNN to classify Cifar-10 images using Numpy and TensorFlow low/mid level API as part of Columbia's Deep Learning Course
cpptext
Cpptext incorporates OpenMP compiler-level loop parallelization with Boost Filesystem/Program Options libraries to create a fast, multithreaded C++ text processing library
deep_learning_recommender_system
Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
kalman-and-bayesian-filters-in-python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
matrix_factorization-recommendation_engine
Matrix Factorization & Completion using the 20 million MovieLens Data
mma_fighter_postgresql_database
Quick & 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.
multi-arm_contextual_bandit_problem
Python implementation of Lihong Li (2012) Linear UCB Algorithm for Disjoint Linear Models
nlp_abstractive_summarization
Implements two seq2seq models for abstractive summarization of news articles using Keras, TensorFlow in Python.
particlethompsonsamplingmab
Multi-Arm Bandits for online recommendations via Particle Thompson Sampling with Probabilistic Matrix Factorization
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
probabilistic_programming_project
Use Edward prob. prog. framework and Tensorflow to model NYC taxi trip time via Gaussian Processes
qtrs
Ongoing systematic trading endeavors
starship
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
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