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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

biowordvec

clinical-outcome-prediction

Code for the EACL 2021 Paper: Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration

clinicalbert

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

colorado_avalanche_maps

This repository will contain choropleth maps of avalanches by county and year starting with the state of Colorado.

commondatamodel

Definition and DDLs for the OMOP Common Data Model (CDM)

counting-from-sky-a-large-scale-dataset-for-remote-sensing-object-counting-and-a-benchmark-method

Pytorch code for the paper Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method

data-science-resources

Data Science related resources and cheatsheets

deep-learning-and-rare-event-prediction

Deep Learning and Rare Event Prediction

housing-prices

Predict the housing price correctly within 91% of the actual price. Engineered model features specific to application needs and statistical significance. Normalized and regularized data and optimized hyperparameters to choose the best regression model for the case use. This Repository has a five-part walk-through that can be accessed starting here: https://jesservillines.medium.com/a-thorough-dive-into-the-ames-iowa-housing-dataset-part-1-of-5-7205093a5a53.

introduction_to_exploratory_data_analysis

jobmatch

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

match

Probabilistic Entity Matching in Python

nasa_hls_tutorial

openai-cookbook

Examples and guides for using the OpenAI API

plant_classifier

poppy-humanoid

Poppy Humanoid is an open-source and 3D printed humanoid robot. Optimized for research and education purposes, its modularity allows for a wide range of applications and experimentations.

propensity-score-matching

raspberry-pi-dramble

DEPRECATED - Raspberry Pi Kubernetes cluster that runs HA/HP Drupal 8

scipy-2023-keras

scipy2023-deeplearning

scipy_2023_causal_inference_tutorial

Materials for a proposed Causal Inference Tutorial session at SciPy 2023

shap

A game theoretic approach to explain the output of any machine learning model.

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

subreddit_nlp_pushshiftapi

text-classification-with-scibert

Task of classifying scientific paper titles according the journal they were published in.

wildfire_classifier

80x improvement from baseline on predicting wildfire size using geospatial and climate data. Multiple techniques applied for optimizing results including clustering, bootstrapping, time series analysis, class weighting and principal component analysis