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100-days-of-python

100 Days of Code - The Complete Python Pro Bootcamp

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

abma

SantaFeInstitute/ABMA: the code repository and website for Agent-Based Modeling for Archaeology.

altair

Declarative statistical visualization library for Python

arcgis-python-api

Documentation and samples for ArcGIS API for Python

argo

autocorrect

Spelling corrector in python

awesome-data-engineering-learning

Awesome list of data engineering learning materials by subject

awesome-football-analytics

A curated list of football analytics awesome resources, articles, books and more!

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

blog_code

A repo for holding example code

blogs

budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

building-neural-networks-from-scratch

Building Neural Networks From Scratch book repository.

causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

causal_ai

This project introduces Causal AI and how it can drive business value.

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causality

ce7454_2018

Deep learning course CE7454, 2018

ce7454_2019

Deep learning course CE7454, 2019

ce9010_2018

Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18

ci-visual-guides

A collection of visual guides to help applied scientists learn causal inference.

complexpaths

consensuskit

Implementation of popular consensus protocols

covid-19-social-science-research

COVID 19 Social Science Research Tracker

covid19-forecast-hub-evaluation

Evaluation of models from the COVID-19 Forecast Hub (https://github.com/reichlab/covid19-forecast-hub). These models are submitted weekly to the CDC to help inform public health decision-making.

covid19-mx-time-series

Time series data of the COVID-19 epidemic in Mexico

cs224w-notes

CS224W Course Notes