data-science

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

General Assembly's 2015 Data Science course in Washington, DC

Unified multimodal backend for AI data apps

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...

High-quality implementations of standard and SOTA methods on a variety of tasks.

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

:bar_chart: :clipboard: Dashboards using YAML or JSON files

What's in your data? Extract schema, statistics and entities from datasets

Python Streaming DataFrames for Kafka

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

fklearn: Functional Machine Learning

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

A curated list of Best Artificial Intelligence Resources

Multi-class confusion matrix library in Python

AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.

Efficient Python Tricks and Tools for Data Scientists

AKTools is an elegant and simple HTTP API library for AKShare, built for AKSharers!

moDel Agnostic Language for Exploration and eXplanation

Fast and customizable framework for automatic ML model creation (AutoML)

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

simple tools for data cleaning in R

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.

A toolkit for time series machine learning and deep learning

Koç University deep learning framework.