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datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

datascience_interview_seminar

This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview

datasciencedevops

Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks. If you have any questions, or you need support. Please let me know. I am on a personal mission to educate Data Scientists on best-practices from engineering. When I interview Data Scientists I will ask them about a model they built which had a benefit. I will then ask how they deployed it. This is often met with black looks and hushed mentioned that either the model was never deployed or it was deployed by the data engineering team. Heed my advice learn how to deploy a model . It is not enough to be able to write models anymore. The unicorns are on the rise!

datascienceinterview30daychallenge

This is list off 30 days of interview question and answer

datasciencetakehome

take home case interview for a tech company

dba

DBA: Averaging for Dynamic Time Warping

dbscan

A simple implementation of DBSCAN in Python

dcenet

Exploring Dynamic Context for Multi-path Trajectory Prediction

dcenet-pytorch

PyTorch Implementation of DCENet for Trajectory Forecasting

deep-clustering

Roadmap and Codebase for deep clustering

deep-kernel-transfer

Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-machine-learning

Repository for SSY340 - Deep Machine Learning

deep-theano-rnn-lstm-car

Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deepclustering

Tensorflow implementation of deep clustering model from my paper "Learning Embedding Space for Clustering From Deep Representations" 2018 IEEE BigData.

deepfec

Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities

deeplearning

深度学习、强化学习、模仿学习与机器人

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningdronesimulator

This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

deeplocnet

WiFi based Radio-Inertial Localization

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepprobcep

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

deeptopologyclassification

The code and datasets for the IEEE Big Data 2016 paper entitled - " Deep Topology Classification: A New Approach for Massive Graph Classification"