dotran

100-Days-Of-ML-Code

100 Days of ML Coding

ABCoptim

An implementation of the Artificial Bee Colony (ABC) Algorithm (R-package)

Advanced-House-Prediction-EDA

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.

Aircraft-Engine-RUL-Prediction

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.

AlphaX-NASBench101

Neural Architecture Search with Deep Neural Network and Monte Carlo Tree Search

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

github-cheat-sheet

A list of cool features of Git and GitHub.

markdown-toclify

A Python command line tool that creates a Table of Contents for Markdown documents

scikit-learn-videos

IPython notebooks from the scikit-learn video series

dotran/Advanced-House-Prediction-EDA

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.

dotran/Azure-Design

Here you will find my complete Azure Visio Stencil and bonus SVG and PNG versions for all of the Azure Service and configuration items.

dotran/bcga-matlab

A MATLAB implementation of Binary-Coded Genetic Algorithms

dotran/classification_metric_learning

dotran/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

dotran/configs

My configuration files

dotran/dataviz

Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop

dotran/Deedy-Resume

A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student

dotran/deeplearning-models

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

dotran/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dotran/dl-keras-tf

rstudio::conf(2020) deep learning workshop

dotran/eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

dotran/ECANet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

dotran/flower

Flower - A Friendly Federated Learning Framework

dotran/gemini

Gemini is a modern LaTex beamerposter theme 🖼

dotran/GP-GOMEA

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

dotran/intro-to-ml-tidy

Intro to Machine Learning with the Tidyverse

dotran/jin-myimsl-cpp

A numerical computing library in C++ developed by Prof. Gang-Gyoo Jin

dotran/Mastering-Azure-Machine-Learning

Mastering Azure Machine Learning, published by packt

dotran/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

dotran/mslearn-ai900

Lab files for AI-900: Azure AI Fundamentals

dotran/my-org-first-pkg

dotran/namesilo-letsencrypt

Automatically generate/renew Let's Encrypt certificates with Certbot on NameSilo DNS

dotran/rcga-matlab

A MATLAB implementation of Real-Coded Genetic Algorithms

dotran/Spearmint

Spearmint Bayesian optimization codebase

dotran/test-azure-deploy

Test Azure deployment of a ML Flask web app

dotran/vscode-one-monokai

🎨 Vscode One Monokai theme.

dotran/what-they-forgot

dotran/wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

dotran/zsh-autosuggestions

Fish-like autosuggestions for zsh