dotran
Lead Data Scientist and ML Engineer. Loves building digital & smart things. Doing AI & I4.0 for global enterprises.
Tetra PakLund, Sweden
Pinned Repositories
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's Repositories
dotran/markdown-toclify
A Python command line tool that creates a Table of Contents for Markdown documents
dotran/scikit-learn-videos
IPython notebooks from the scikit-learn video series
dotran/ABCoptim
An implementation of the Artificial Bee Colony (ABC) Algorithm (R-package)
dotran/bokeh-notebooks
Interactive Web Plotting with Bokeh in IPython notebook
dotran/coursera-dl
Script for downloading Coursera.org videos and naming them.
dotran/DAT7
General Assembly's Data Science course in Washington, DC
dotran/datacollect
A collection of tools to collect and download various data.
dotran/deep-residual-networks
Deep Residual Learning for Image Recognition
dotran/dkms
Dynamic Kernel Module Support
dotran/fuzzywuzzy
Fuzzy String Matching in Python
dotran/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
dotran/IEEE_CEC_2015_niching_competition
Data and scripts relating to entries to the EEE CEC 2015 competition on niching methods for multimodal optimisation
dotran/ipe-wiki
A Wiki for tips and tricks related to Ipe
dotran/latex-statistical-science-jnl
Useful fine tuning details from the LaTeX template for Statistical Science journal
dotran/mac-os-tips
A collection of useful things concerning Mac OS X
dotran/markdown-toc
Generate a markdown TOC (table of contents) for a README or any markdown files, using remarkable. Used by assemble, verb, and lots of other projects on GitHub. API and CLI.
dotran/matplotlib-gallery
Examples of matplotlib codes and plots
dotran/matplotlib-style-gallery
A gallery displaying stylesheets for Matplotlib
dotran/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
dotran/opencv
Open Source Computer Vision Library
dotran/protobuf
Protocol Buffers - Google's data interchange format
dotran/python-reference
Python Quick Reference
dotran/pytorch-tutorial
tutorial for researchers to learn deep learning with pytorch.
dotran/r4ds
R for data science
dotran/reading-info
Notable online writings on Data Science: A collection from random reading
dotran/stack-overflow-import
Import arbitrary code from Stack Overflow as Python modules.
dotran/test-repo1
Test repository #1
dotran/ThinkBayes
Code repository for Think Bayes.
dotran/thoonk.js
Persistent (and fast!) push feeds, queues, and jobs leveraging Redis
dotran/thrift-demo
Simple Thrift demo using Node.js and Python