doandongnguyen Goto Github PK
Name: Doan Dong Nguyen
Type: User
Company: HUST
Location: Vietnam
Name: Doan Dong Nguyen
Type: User
Company: HUST
Location: Vietnam
This is a simulator that emulates predictive auto-scaling. This system is produced as a part of PhD project in Carleton University
An open source ChatGPT UI.
CloudSimPy: Datacenter job scheduling simulation framework
Borg cluster traces from Google
cluster data collected from production clusters in Alibaba for cluster management research
These common credit score data sets are collected to empirical evaluations, and I will update dynamically.
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
List of Computer Science courses with video lectures.
The code for customer churn prediction
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
A community run, 5-day PyTorch Deep Learning Bootcamp
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Variational deep autoencoder to predict churn customer
Implementations from the free course Deep Reinforcement Learning with Tensorflow
A pytorch tutorial for DRL(Deep Reinforcement Learning)
A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
A tutorial demonstrating how to implement deep learning models for time series forecasting
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Resource Management with Deep Reinforcement Learning (HotNets '16)
Examples and use cases using the deepbots framework (https://github.com/aidudezzz/deepbots) with the Webots robot simulator.
Roadmap to becoming a developer in 2022
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Udacity's Deep Reinforcement Learning Nano-Degree
Variational Auto-Encoder with Dropout
Materials for my lectures and for self-study in machine learning
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This is the example code repository for Feedback Control for Computer Systems by Philipp K. Janert (O'Reilly Media)
Fuzzy Q-Learning Algorithm
A matlab implementation of Fuzzy Q-Learning for making cloud auto-scaling more intelligent through online policy learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.