abraich Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

arxausality

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-causality-data

A data index for learning causality.

ayoubabraich.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

capstone-project

Predicting stock market movement with EDA and Keras

causal_reading_group

causebox

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.

cfrnet

Counterfactual Regression

classcaus

covid-20

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cryptoview-streamlit-app

cvsite

data-science-best-resources

Carefully curated resource links for data science in one place

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

datascienceresources

Open Source Data Science Resources.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

lux

Python API for Intelligent Visual Data Discovery

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

papers

Summaries of machine learning papers

pycaus

python

All Algorithms implemented in Python

streamlit_app

suivi-du-data-camp-zeta-team

suivi-du-data-camp-zeta-team created by GitHub Classroom

summary-of-deep-learning-papers

Collecting some interesting papers about computer vision

svm-r-markdown-templates

I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.