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de_differential_evolution

Given an Objective function, one has several numerical, linear v nonlinear, computational techniques to optimize/ analyze the surface provided. Differential Evolution is one of these methods. To summarize at a high level: "DE adds the weighted difference between two population vectors to a third vector. This way no separate probability distribution has to be used which makes the scheme completely self-organizing".

dev_tools

A simple set of statistical tools

develop-and-operate-microservices-on-kubernetes

Develop and Operate Microservices on Kubernetes [Video], Published by Packt

developer

Redesigned UrbanSim developer/pro forma models

developer-graphs

Creates charts of developer skills using R and ggplot2

developing-nlp-applications-using-nltk-in-python

Developing NLP Applications Using NLTK in Python by Packt Publishing

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

development

Development repository

device-detection-from-accelerometer-data

Investigating feasibility of using accelerometer data as a biometric for identifying users of mobile devices

devistatorbacktesting

general purpose backtesting platform, prevents look-ahead bias

devol

Genetic neural architecture search with Keras

devops-course

Devops course sources (Vagrant, Ansible & Docker )

devops-with-kubernetes

DevOps with Kubernetes, published by Packt

devops_python_nyu_class

devos-vote

jupyter notebook for democracy

dexter

Dexter is a framework that implements some popular algorithms and provides all the tools needed to develop any entity linking technique.

dfp

Reinforcement Learning with Goals

dframeutils

simple utility tools for dataframes in Python || WIP ||

dgcnn

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

dgcnn--wangyueft

dgd_person_reid

Domain Guided Dropout for Person Re-identification

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgm

Deep Generative Model (Torch)

dgm_re-id

Unsupervised Person Re-identification (ICCV 2017)

di-2-fgsm

Improving Transferability of Adversarial Examples with Input Diversity

diabetes-classification

Predict whether a patient has diabetes.

diabetes-prediction

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

diagrammer

Graph and network visualization using tabular data in R

dialog-sample

A collection of samples demonstrating how to manage dialogs in Microsoft Bot Framework.

dialogbot

dialogbot, provide task-based dialogue, search-based dialogue and generative dialogue model.