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deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

delay-mdp-refined

desire

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

detecting-fishing-activity

Project aimed to detect possible fishing activity in the ocean from vessel's trajectories.

df-ml-anomaly-detection

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

distance_matrix

Python, MDAnalysis script to create a distance matrix for single frame or for full trajectory

distarctor-detection_eyes_emotions_ci

The model uses the computer webcam to calculate a CI based on a composite score of emotional state and eye/head movement and displays a real-time Engagement and Emotional Classification.

distractionmodel

distributed-anomaly-injection

Agent-based system anomaly injector. Builds uppon several system anomaly simulation tools.

distributed-breadth-first-search-on-stack-overflow-graph-data-using-pyspark

A distributed BFS on Stack OverFlow Graph Data was developed using PySpark. A Friend Recommendation Algorithm used the BFS after Data Wrangling and Analytics. Finally, a Social Network Graph is plotted.

distributed-compressive-sensing-a-deep-learning-approach

Distributed Compressive Sensing: A Deep Learning Approach

distributed-sensor-fusion

distributed_kalman_filter

Naived Fusion of Kalman Filter, Retrodiction, Iterative Cross-Covariance, Distributed Kalman Filter

dita

Distributed In-Memory Trajectory Analytics

dlkcfcdc2014

DLKCFcdc2014

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

dockerjenkins_tutorial

A repository for items learned in my Getting Started with Jenkins and Docker tutorial series

doo-q_extension

Codifications used in the IEEE Transactions on Cybernetics paper: "MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning"

dpfrl

Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)

driving-range-prediction-and-energy-consumption-in-ev-s

Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.

drl-for-pick-and-place-task-subtasks

A multi-subtask reinforcement learning method where complex tasks can be decomposed into low-level subtasks.

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

dsbn_aistats2015

The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"

dss-msc

Dual Shared-Specific Multiview Subspace Clustering

dts

A Keras library for multi-step time-series forecasting.

dtwnet

DTWNet: a Dynamic Time Warping Network

dygiepp

Span-based system for named entity, relation, and event extraction.