Name: Do Tran
Type: User
Company: Tetra Pak
Bio: Lead Data Scientist and ML Engineer. Loves building digital & smart things. Doing AI & I4.0 for global enterprises.
Twitter: dotranet
Location: Lund, Sweden
Blog: https://dotran.net
dl-keras-tf
rstudio::conf(2020) deep learning workshop
dlbook_notation
LaTeX files for the Deep Learning book notation
dliss-tutorial
Tutorial for International Summer School on Deep Learning, 2019
docker-cheat-sheet
Docker Cheat Sheet
driver.js
A light-weight, no-dependency, vanilla JavaScript engine to drive the user's focus across the page
dropout_tutorial_in_pytorch
Dropout as Regularization and Bayesian Approximation
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
ecanet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
effective-pandas
Source code for my collection of articles on using pandas.
emoji-cheat-sheet.com
A one pager for emojis on Campfire and GitHub
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
flower
Flower - A Friendly Federated Learning Framework
fuzzywuzzy
Fuzzy String Matching in Python
g5k-recipes
Kameleon recipies for my Grid'5000 images
gemini
Gemini is a modern LaTex beamerposter theme 🖼
git-standup
Recall what you did on the last working day. Psst! or be nosy and find what someone else in your team did ;-)
github-cheat-sheet
A list of cool features of Git and GitHub.
gp-gomea
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
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.
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
iconic
Predictive modelling using evolutionary algorithms
ieee_cec_2014_nmmso
Codebase for IEEE Congress on Evolutionary Computation 2014 paper "Running Up Those Hills: Multi-Modal Search with the Niching Migraory Multi-Swarm Optimiser", containing the NMMSO algorithm
ieee_cec_2015_niching_competition
Data and scripts relating to entries to the EEE CEC 2015 competition on niching methods for multimodal optimisation
intro-to-ml-tidy
Intro to Machine Learning with the Tidyverse
ipe-wiki
A Wiki for tips and tricks related to Ipe
ipyparallel
Interactive Parallel Computing in Python
jin-myimsl-cpp
A numerical computing library in C++ developed by Prof. Gang-Gyoo Jin
kaggle-metrics
Metrics for Kaggle competitions
kaggle-ndsb
Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
kameleon-recipes
The defaults kameleon recipes
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
