doandongnguyen,Doan Dong Nguyen,github

carleton-auto-scaling-simulator

This is a simulator that emulates predictive auto-scaling. This system is produced as a part of PhD project in Carleton University

chatbot-ui

An open source ChatGPT UI.

cloudsimpy

CloudSimPy: Datacenter job scheduling simulation framework

cluster-data

Borg cluster traces from Google

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

credit-scoring-data-sets

These common credit score data sets are collected to empirical evaluations, and I will update dynamically.

crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

cs-video-courses

List of Computer Science courses with video lectures.

customerchurnprediction

The code for customer churn prediction

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-vae-prediction-of-churn-customer

Variational deep autoencoder to predict churn customer

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deepbots

A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.

deeplearning-and-nlp

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

deepworlds

Examples and use cases using the deepbots framework (https://github.com/aidudezzz/deepbots) with the Webots robot simulator.

developer-roadmap

Roadmap to becoming a developer in 2022

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

drlnd

Udacity's Deep Reinforcement Learning Nano-Degree

dropoutvae

Variational Auto-Encoder with Dropout

education

Materials for my lectures and for self-study in machine learning

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

feedback_control_for_computer_systems

This is the example code repository for Feedback Control for Computer Systems by Philipp K. Janert (O'Reilly Media)

fql-fuzzy-q-learning

Fuzzy Q-Learning Algorithm

fuzzy-q-learning

A matlab implementation of Fuzzy Q-Learning for making cloud auto-scaling more intelligent through online policy learning

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