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
basic setup using mac's new gpu	post	Wed, Oct 20, 21, initial setup on mac machine
Resources for DS & ML & DL	post	Mon, Oct 25, 21, bugs and tuts lists books services & api frameworks
Data combining using pandas	post	Tue, Oct 26, 21, Coupling multiple dataframes together uisng dataFrame and series
Dataset Collection for dl ml sources	post	Tue, Oct 26, 21, datasets for Scikt-learn, public google and nlp projects with awesome-public-datasets, Open Images V6
Practical Machine Learning Tools and Techniques	post	Tue, Dec 28, 21, owerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
meet-puppeteer.md	post	javascript로 브라우저 자동화
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

---