A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Free universal database tool and SQL client

[Not Maintained anymore] Python Module to get Meanings, Synonyms and what not for a given word

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Best Practices on Recommendation Systems

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Draw datasets from within Jupyter.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Resources for MMAI 891, GMMA/MMA 865, and MBAS 862

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbations.

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

An open-source, low-code machine learning library in Python

ok.py supports programming projects by running tests, tracking progress, and assisting in debugging.

curated collection of papers for the nlp practitioner 📖👩‍🔬

Curated list of Python resources for data science.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

This repo contains data from Ted Kwartler's "Text Mining in Practice With R" book.

Notes and exercise attempts for "An Introduction to Statistical Learning"

Social Network Analysis and Visualization software application.

A List of Recommender Systems and Resources

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

R package for web-based interactive topic model visualization.