Do Tran's Projects
100 Days of ML Coding
An implementation of the Artificial Bee Colony (ABC) Algorithm (R-package)
In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.
Objective of this project is to built a sequential neural network which can predict the remaining useful life of an engine based on historical sensor data. For this regression problem, I employed keras Long-short-term-memory (LSTM) model with 'relu' activation function and 'rmsprop' optimizer to predict time-to-event.
Neural Architecture Search with Deep Neural Network and Monte Carlo Tree Search
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
Here you will find my complete Azure Visio Stencil and bonus SVG and PNG versions for all of the Azure Service and configuration items.
A MATLAB implementation of Binary-Coded Genetic Algorithms
Extract and tidy BibTeX entries for references in a Zotero library
This is where I host my blog posts and tutorials
Interactive Web Plotting with Bokeh in IPython notebook
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
Best Practices, code samples, and documentation for Computer Vision.
My configuration files
A Code-First Introduction to NLP course
Script for downloading Coursera.org videos and naming them.
General Assembly's Data Science course in Washington, DC
A collection of tools to collect and download various data.
Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
Deep Residual Learning for Image Recognition
Practical assignments of the Deep|Bayes summer school 2019
A collection of various deep learning architectures, models, and tips
This repository contains implementations and illustrative code to accompany DeepMind publications
Underexposed Photo Enhancement Using Deep Illumination Estimation
An ultra-simplified explanation to design patterns