Resources for DS & ML & DL

• Thi
• Blogs & Tuts
• Books
• Services & API
• Frameworks
• Python libs
• For Korean
• Tools

Thi

👉 Note: Useful tools for working & studying. 👉 Note: Web Dev tools & resources.

Blogs & Tuts

• Airbnb — Engineering & Data Science – Medium.
• AI Curious — Viet Anh’s personal blog, in Vietnamese.
• Colah’s blog — personal blog.
• Facebook AI Blog.
• Google’s AI Hub – a platform that lets us centralize our code and knowledge in a way that can step up the pace of deployment and learnings globally, giving us the scale to deliver data-driven marketing excellence.
• Google Codelabs – Google Developers Codelabs provide a guided, tutorial, hands-on coding experience. Most codelabs will step you through the process of building a small application, or adding a new feature to an existing application. They cover a wide range of topics such as Android Wear, Google Compute Engine, Project Tango, and Google APIs on iOS.
• Math ∩ Programming — personal blog.
• Netflix TechBlog
• Ong Xuan Hong — personal blog.
• Sebastian Ruder — personal blog.

Books

• Deep Learning with Python — François Chollet.
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow — Aurélien Géron.

Services & API

• Mapbox — Precise location data and powerful developer tools to change the way we navigate the world.
• Foursquare — the trusted location data.
• OpenStreetMap — a map of the world, created by people like you and free to use under an open license.

Frameworks

• Caffe — deep learning framework.
• D3js — Data-Driven Documents.
• Hydra — A framework for elegantly configuring complex applications. It’s Facebook’s.

Python libs

• daft — a Python package that uses matplotlib to render pixel-perfect probabilistic graphical models for publication in a journal or on the internet.
• CSAPS — a Python package for univariate, multivariate and n-dimensional grid data approximation using cubic smoothing splines. The package can be useful in practical engineering tasks for data approximation and smoothing.

For Korean

👉 Dataset for Vietnamese.

• KbQAS (ISWC 2013): Video demo of the knowledge-based Vietnamese question answering system KbQAS.
• PhoBERT (EMNLP 2020 Findings): Pre-trained language models for Vietnamese.
• PhoW2V (2020): Pre-trained Word2Vec syllable- and word-level embeddings for Vietnamese.
• RDRsegmenter (LREC 2018): A fast and accurate Vietnamese word segmenter.
• ViText2SQL (EMNLP 2020 Findings): A dataset for Vietnamese Text2SQL semantic parsing.
• VnCoreNLP (NAACL 2018): A Vietnamese NLP pipeline of word (and sentence) segmentation, POS tagging, named entity recognition and dependency parsing.
• VnDT (NLDB 2014): A Vietnamese dependency treebank.
• VnMarMoT (ALTA 2017): A pre-trained Vietnamese POS tagging model.

Tools

• Caffe Model Zoo – reasearcher share their Caffe models.

• [Chart.js

  Open source HTML5 Charts for your website](https://www.chartjs.org/)

• DeepKit – The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.
• Embedding Projector tool from tensorflow.
• Flourish — Data Visualization & Storytelling.
• Foursquare — Put the most trusted, independent location data and technology platform to work for your business.
• Google Data Studio.
• Graphviz export
  • Download Graphviz here.
  • Its online version.
• Teachable Machine – Train a computer to recognize your own images, sounds, & poses.
• idyll — A toolkit for creating data-driven stories and explorable explanations.
• Mapbox — Maps and location for developers.
• ml5js – Friendly Machine Learning For The Web.
• nbdev — Create delightful python projects using Jupyter Notebooks.
• Observale — Observable is the magic notebook for exploring data and thinking with code.
• Streamlit — The fastest way to build data apps in Python.
• Replicate — Version control for machine learning.
• TensorBoard – TensorFlow’s visualization toolkit.
• TensorFlow Playground
• Travis-CI — a hosted continuous integration service used to build and test software projects hosted at GitHub and Bitbucket.
• Vaex — Handle huge dataframe.

The following wiki, pages and posts are tagged with machine-learning

Title	Type	Excerpt
Machine learning, deep learning, AI	page	DL/ML concept google search model 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁
webscraping	page	webscraping lessons, rapa, blackyak, 100 famous mountains, github actions and python install

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