Trax — Deep Learning with Clear Code and Speed

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

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

Python dependency management and packaging made easy.

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

Ergonomic machine learning for everyone.

A machine learning library for solving regression tasks.

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…

Genetic Algorithm for Gekko Trading Bot.

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

Top ML papers published daily in arXiv

Python datetimes made easy

Data Analysis Baseline Library

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

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

👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

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)

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

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

AI courses that contain code, notebooks and theory.

Data augmentation for NLP, presented at EMNLP 2019

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

A curated list of awesome customer analytics content