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Name: Derek Hanson
Type: User
Bio: Data Scientist. Applied Statistician. Sports Nerd.
Location: Austin, TX
Blog: derekjhanson.com/
Derek Hanson's Projects
bsc-genesis-contract
The genesis contracts of Binance Smart Chain.
captum
Model interpretability and understanding for PyTorch
collegehoops
An R package for gathering men's NCAA basketball data.
contract-template-for-bep20
Contract Template for BEP20
deep-feature-selection
Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)
deep-reinforcement-learning-algorithms-with-pytorch
PyTorch implementations of deep reinforcement learning algorithms and environments
finance
Methods for gathering, processing, storing, and analyzing financial data on equities.
finding_upsets
Data and model files to accompany the Medium article on visualizing model components to understand uncertainty in statistical models.
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
generator
CyberDoggos NFT Generator
gretel-blueprints
Public blueprints for data use cases
gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
health
An exploration of health data from fitness devices.
hiddenmarkovmodel_pytorch
Pytorch: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
hrl-taxi
Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
mandrova
An Awesome Synthetic Sensor Data Generator for Python3
medium_notebook
Repository containing notebooks of my posts on Medium
music
Exploration and analysis of data from Billboard, Spotify, and other sources of music data.
my-movie-recommender
Personal movie recommender system and a research sandbox
nba_positions
Data and model files from a Gaussian Mixture Model analysis of NBA player statistics. Related article available at https://link.medium.com/Tmqi4A16D9.
nba_stats
A collection of code to collect NBA data and develop insight into aspects of the game and players.
ncaa_tournament_modeling
Predictive models and analysis of the annual NCAA Mens College Basketball Tournament.
netflix
Data and examples to explain machine learning through a publicly-available dataset on Netflix shows.
nixtlats
Deep Learning for Time Series Forecasting.
nyum
A simple Pandoc-powered static site generator for your recipe collection – it effortlessly turns a set of Markdown-formatted recipes into a lightweight, responsive, searchable website.
opengym-taxi-v3
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-Learning)
option-critic
A Tensorflow implementation of the Option-Critic Architecture
predicted_probabilities_bank_marketing
Tackling imbalanced data with predicted probabilities. Using the Portuguese bank marketing dataset as a case study, as published in Towards Data Science on Medium.com
pytorch-tabular
Some examples of using PyTorch for tabular data
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