abraich Goto Github PK
Type: User
Bio: Passionate about Artificial Intelligence
Location: Evry
Blog: www.ayoubabraich.ml
Type: User
Bio: Passionate about Artificial Intelligence
Location: Evry
Blog: www.ayoubabraich.ml
100 Days of ML Coding
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
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
A data index for learning causality.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Predicting stock market movement with EDA and Keras
Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensignificant advances through the application of machine learningtechniques, especially deep neural networks. Unfortunately, to-datemany of the proposed methods are evaluated on different (data,software/hardware, hyperparameter) setups and consequently it isnearly impossible to compare the efficacy of the available methodsor reproduce results presented in original research manuscripts.In this paper, we propose a causal inference toolbox (CauseBox)that addresses the aforementioned problems. At the time of thewriting, the toolbox includes seven state of the art causal inferencemethods and two benchmark datasets. By providing convenientcommand-line and GUI-based interfaces, theCauseBoxtoolboxhelps researchers fairly compare the state of the art methods intheir chosen application context against benchmark datasets.
Counterfactual Regression
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Carefully curated resource links for data science in one place
Toturial coming with "data science roadmap" graphe.
Open Source Data Science Resources.
List of Data Science Cheatsheets to rule the world
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Python API for Intelligent Visual Data Discovery
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Summaries of machine learning papers
All Algorithms implemented in Python
suivi-du-data-camp-zeta-team created by GitHub Classroom
Collecting some interesting papers about computer vision
I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.
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.