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gettingandcleaningdata

Coursera Getting and Cleaning Data Project

gnn_for_ehr

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

gpacttopref

Learning preferences through actions

gpinv

An inverse-problem solver with Gaussian Process priors

gppe

Gaussian Process Elicitation Framework

gpprefelicit

Unimodal Gaussian Process based preference elicitation (UGP-PE)

gppreflearn

Learning preferences of occupants/humans via pairwise comparison queries

gpygradients

gpyopt

Gaussian Process Optimization using GPy

hardhat-detector

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

hat

Overcoming catastrophic forgetting with hard attention to the task

helmet-detection

Helmet Detection on Construction Sites

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

image-captioning

Image Captioning with Keras

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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.

keras-maskrcnn

Keras implementation of MaskRCNN object detection.

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-retinanet-for-open-images-challenge-2018

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

keras-yolo3

Training and Detecting Objects with YOLO3

lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

notebook

Collection of jupyter notebooks for demonstrating software.

peerassessment1

Reproducible Research Assignment 1

phoenics

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pygpgo

Bayesian optimization for Python