tridungduong16 Goto Github PK
Name: Tri Duong
Type: User
Bio: Data Scientist
Location: Sydney
Name: Tri Duong
Type: User
Bio: Data Scientist
Location: Sydney
A beautiful, simple, clean, and responsive Jekyll theme for academics
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
An index of algorithms for learning causality with data
:books: Books worth reading
Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
Must-read papers and resources related to causal inference and machine (deep) learning
A complete computer science study plan to become a software engineer.
This repository contains coding interviews that I have encountered in company interviews
This repository contains coding interviews that I have encountered in company interviews
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
This is a collection of papers and other resources related to fairness.
Learn Algorithmic Trading, Published by Packt
The road map for learning mathematics for machine learning
Generating counterfactual samples for machine learning model with SCM and prototypes.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
PyMC3 educational resources
The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.