Pinned Repositories
bayesian-opt
beanmachine
A library that allows for inference on probabilistic models
jakee417.github.io
Jake's Blog
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.
LS-SSDD-v1.0-ShipDetectionComputerVision
Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning
Pi-kalman
kalman filter for the raspberry pi
Pi-Train-Switching
Control Lionel Train Switches with Python and Flask
Pico-Train-Switching
Rail Yard server from a Raspberry Pi Pico W
pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
botorch
Bayesian optimization in PyTorch
jakee417's Repositories
jakee417/LS-SSDD-v1.0-ShipDetectionComputerVision
Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning
jakee417/jakee417.github.io
Jake's Blog
jakee417/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.
jakee417/Pi-kalman
kalman filter for the raspberry pi
jakee417/Pi-Train-Switching
Control Lionel Train Switches with Python and Flask
jakee417/bayesian-opt
jakee417/beanmachine
A library that allows for inference on probabilistic models
jakee417/Data_Challenge
Stanford's Stats 315a Data Challenge in R, Winter 2019
jakee417/deepar
Tensorflow implementation of Amazon DeepAR
jakee417/docker-pi-hole
Pi-hole in a docker container
jakee417/KD-Trees
Stanford's CS106b Final Project written in Stanford's C++ library
jakee417/model-zoo
Please do not feed the models
jakee417/Pico-Train-Switching
Rail Yard server from a Raspberry Pi Pico W
jakee417/ProbabilisticForecasting
Project for Applied Bayesian Statistics
jakee417/mortgage_forecast
jakee417/NAB
The Numenta Anomaly Benchmark
jakee417/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
jakee417/private-pgm
An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
jakee417/probability-1
Probabilistic reasoning and statistical analysis in TensorFlow
jakee417/rent_vs_buy_flutter
jakee417/Stats207
Stanford's Time Series Analysis Course, Spring 2020
jakee417/Stats271
Applied Bayesian Statistics
jakee417/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
jakee417/tripleASavedGames
jakee417/vision_AQI_prediction
Code for the paper "Vision-Based Approaches to Air Quality Prediction"