Max Mynter - Full Stack Machine Learning Engineer. Explore my blog and portfolio. Multiple years of experience in data science, software engineering, and machine learning.

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata. - apple/embedding-atlas

35% off our evals course: https://bit.ly/evals-ai Vincent introduces Marimo, a reactive notebook environment. He walks us through the features of Marimo, including interactive and reactive charts and widget integration. Vincent demonstrates how you can use these components to build annotation apps for evals. Vincent also highlights differences between Marimo and traditional Jupyter Notebooks. Links: 1. Repo w/notebook: https://github.com/koaning/molabel 2. Vincen'ts drawing pad: https://www.amazon.com/Inspiroy-H640P-Graphics-Battery-Free-Sensitivity/dp/B075T6MTJX 3. Vincent's sites: https://koaning.io , and https://calmcode.io/ 00:00 Introduction to Data Science Journey 00:27 Exploring the Chick Weight Dataset 00:57 Interactive Data Analysis with Marimo 02:04 Importance of Looking at Data 03:32 Advanced Data Visualization Techniques 05:14 Introduction to Marimo's Unique Features 06:44 Reactive Programming in Marmo 12:50 AI Integration and Custom Rules 15:30 Marimo's Storage and Export Options 27:16 Advanced Visualization and Annotation 37:10 Introduction to Any Widget 37:45 Building Custom Widgets 38:56 Showcasing the Scatter Widget 40:29 Defining Widgets with Any Widget 45:58 Annotation Widgets and Their Uses 52:14 Exploring More Widget Capabilities 01:01:32 Marimo's App Mode and Deployment 01:03:37 Final Thoughts and Future Directions 01:04:45 Q&A and Closing Remarks

Local Large Language Models can convert massive DataFrames to presentable Markdown reports — here's how.

Julius is a powerful AI data analyst that helps you analyze and visualize your data. Chat with your data, create graphs, build forecasting models, and more.

Is GitHub Copilot the best AI-assistant for Data Scientists?

RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag

Open-source platform for extracting structured data from documents using AI. - DocumindHQ/documind

Open-source platform for extracting structured data from documents using AI. - DocumindHQ/documind

Sourcetable is an AI spreadsheet that helps you analyze data and create reports. Chat with your data, create charts and graphs, build financial models, + more.

Interact with your SQL database, Natural Language to SQL using LLMs - Dataherald/dataherald

A unified SQL query interface and portable runtime to locally materialize, accelerate, and query data tables sourced from any database, data warehouse, or data lake. - spiceai/spiceai

A series of top performing Text to SQL LLMs. Contribute to cfahlgren1/natural-sql development by creating an account on GitHub.

Alchemite™ Analytics accelerates innovation through applied machine learning. Get deep insights into real-world, sparse and noisy, experimental and process data, Reduce the number of experiments required to achieve your goals by 50-80%.

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

A great resource for all scientists.

arXiv dataset and metadata of 1.7M+ scholarly papers across STEM

Wizard of Wikipedia is a large dataset with conversations directly grounded with knowledge retrieved from Wikipedia. It is used to train and evaluate dialogue systems for knowledgeable open dialogue with clear grounding

It's put up or shut up time for Data Science teams. When the business depends on our work for revenue growth, success is expected. Failure is fatal.

Kobra is A Visual Programming language for ML