alexandertyan Goto Github PK
Name: Sasha from Russia
Type: User
Name: Sasha from Russia
Type: User
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Roadmap to becoming an Artificial Intelligence Expert in 2022
McDaniel College MS in Analytics Coursework
ANA 505 Foundations in Data Mining
For HW submissions
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Materials for an introductory AWS Workshop in Large Scale Data Methods - Fall 2018
Python library providing function decorators for configurable backoff and retry
Introduction to Computational Text Analysis at BigSurv 2018
A repo to test Continuous Integration techniques
This the repository for the Spring Causal Inference Course
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Parallel computing with task scheduling
Dask tutorial
:bar_chart: Path to a free self-taught education in Data Science!
Data science interview questions and answers
Data Science Learning Path - A complete guide to learn data science for beginners
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Source code for my second-year paper
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A library for the Socrata Open Data API (SODA)
ANA 505 Test Repo
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.