Jake Taylor's repositories

LS-SSDD-v1.0-ShipDetectionComputerVision

Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning

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Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

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Pi-kalman

kalman filter for the raspberry pi

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Pi-Train-Switching

Control Lionel Train Switches with Python and Flask

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beanmachine

A library that allows for inference on probabilistic models

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Data_Challenge

Stanford's Stats 315a Data Challenge in R, Winter 2019

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deepar

Tensorflow implementation of Amazon DeepAR

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docker-pi-hole

Pi-hole in a docker container

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KD-Trees

Stanford's CS106b Final Project written in Stanford's C++ library

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model-zoo

Please do not feed the models

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ProbabilisticForecasting

Project for Applied Bayesian Statistics

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NAB

The Numenta Anomaly Benchmark

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pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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Pico-Train-Switching

Rail Yard server from a Raspberry Pi Pico W

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private-pgm

An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"

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probability-1

Probabilistic reasoning and statistical analysis in TensorFlow

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Stats207

Stanford's Time Series Analysis Course, Spring 2020

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Stats271

Applied Bayesian Statistics

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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vision_AQI_prediction

Code for the paper "Vision-Based Approaches to Air Quality Prediction"

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