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agile_data_code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

automate_boring_stuff

automl_survey

awesome-customer-analytics

A curated list of awesome customer analytics content

awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

citation-sorted-arxiv-slack-bot

Top ML papers published daily in arXiv

dabl

Data Analysis Baseline Library

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

flax

Flax is a neural network ecosystem for JAX that is designed for flexibility.

github-profile-readme-generator

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

igel

a machine learning tool that allows to train, test and use models without writing code

japonicus

Genetic Algorithm for Gekko Trading Bot.

jcsprout

👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

libra

Ergonomic machine learning for everyone.

lightgbmwithbayesopt

master_artificial_intelligence

AI courses that contain code, notebooks and theory.

pendulum

Python datetimes made easy

poetry

Python dependency management and packaging made easy.

pykka

Pykka is a Python implementation of the actor model, which makes it easier to build concurrent applications

real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

scikit-physlearn

A machine learning library for solving regression tasks.

sk-ml-pipeline

End-to-end sklearn model training, bayesian hyperparameter tuning, experiment tracking, and deployment using mlflow

suksham

Going for the best automl EVER

summarise-platform

summarization platform: The client side code for Summarization platform SummaRise, coded in React, MaterialUI is used for better user experience. Minimal installation needed for development. Docker image is provided for deployment.

trax

Trax — Deep Learning with Clear Code and Speed