Видео

Walkthrough of github.com/DAGWorks-Inc/burr/blob/main/examples/parallelism/notebook.ipynb github.com/DAGWorks-Inc/burr/

A quick overview of github.com/dagworks-inc/burr. In this video, I explain how the Burr framework simplifies coding agents by representing it as a graph or flowchart. By using Burr, you can easily create a mental model of your code structure without the need for manual drawings. The framework allows for expressing agents effortlessly through flowcharts, making code comprehension more intuitive....

Caching stores results when executing a node. Then, results can be retrieved instead of re-executing the node resulting in better execution speed and reduced resource usage. You can enable this feature with a one line change! 📚 Tutorial notebook for caching: github.com/DAGWorks-Inc/hamilton/blob/main/examples/caching/tutorial.ipynb 🖥 Tutorial for Hamilton notebook extension: github.com/DAGWorks...

Recording of October meetup. Agenda: - Sholto Armstrong's presentation on using Hamilton. Title: Building a Decisioning Engine for Data Scientists with Hamilton. In this talk, we will share our experience of leveraging Hamilton to build a comprehensive decisioning engine. We will explore the approach we took to build custom components on top of Hamilton, including decision trees, credit risk sc...

Video from: www.meetup.com/global-hamilton-open-source-user-group-meetup/events/300892497/ Repo: github.com/DAGWorks-Inc/hamilton Speaker: Gilad Rubin www.linkedin.com/in/gilad-rubin-2b72b3218/ Hypster: github.com/hypster-dev/hypster Demo: github.com/gilad-rubin/hypernodes-demo Apologies but the "new features" of Hamilton got cut in the video due to some recording issues. Hamilton Documentation...

Are you building agents or agentic type applications? You likely need instrumentation to know what's going on. This video walkthrough shows the quick way to integrate opentelemetry with Burr to get those extra insights logged. github.com/dagworks-inc/burr More documentation - burr.dagworks.io/concepts/additional-visibility/ Available packages - github.com/traceloop/openllmetry/tree/main/packages

Here's a quick walkthrough of a notebook showing traveling back in time. Notebook: github.com/DAGWorks-Inc/burr/blob/main/examples/multi-modal-chatbot/burr_demo.ipynb Repo: github.com/DAGWorks-Inc/burr

In this video, we set up our Python virtual environment to use Hamilton and it's VSCode extension. ⭐Hamilton on GitHub: github.com/DAGWorks-Inc/hamilton � Hamilton documentation: hamilton.dagworks.io/ 📣 Join our Slack communtiy: join.slack.com/t/hamilton-opensource/shared_invite/zt-1bjs72asx-wcUTgH7q7QX1igiQ5bbdcg

In this video, you'll learn about functions, nodes, and dataflows. In Hamilton, users write regular Python functions and they use the function parameter names to specify dependencies between functions. Hamilton loads these functions, turns them into nodes, and resolves their dependencies into a directed acyclic graph (DAG). ⭐Hamilton on GitHub: github.com/DAGWorks-Inc/hamilton � Hamilton documen...

In this video, we show how to execute Hamilton dataflows in scripts and notebooks. We give several tips to improve your development experience and allow you to iterate over dataflows efficiently. Learn more about the Hamilton notebook extension: ruclips.net/video/Z3ZT2ur2jg8/видео.html ⭐Hamilton on GitHub: github.com/DAGWorks-Inc/hamilton � Hamilton documentation: hamilton.dagworks.io/ 📣 Join ou...

In this video, we learn the basics of the Hamilton Driver. The Driver is responsible for loading the dataflow definition, and then visualize and execute it. It plays a central role in Hamilton and provides a lot of flexibility via plugins to other tools. ⭐Hamilton on GitHub: github.com/DAGWorks-Inc/hamilton � Hamilton documentation: hamilton.dagworks.io/ 📣 Join our Slack communtiy: join.slack.co...

Video from: www.meetup.com/global-hamilton-open-source-user-group-meetup/events/300892486/ Slides: github.com/user-attachments/files/15893255/Hamilton.June.2024.Meetup.pdf Repo: github.com/DAGWorks-Inc/hamilton IPython Magic: towardsdatascience.com/using-ipython-jupyter-magic-commands-to-improve-the-notebook-experience-f2c870cab356 Video: ruclips.net/video/Z3ZT2ur2jg8/видео.html GracefulErrorAd...

MLFlow is an open-source Python framework for experiment tracking. The MLFlow plugin for Hamilton includes two sets of features: - Standard approach to save and load machine learning models - Automatically track Hamilton pipeline results in MLFlow This pairs nicely with the Hamilton UI which gives you a way to explore your pipeline code, attributes of the artifacts produced, and execution obser...

By deploying your Burr application using an OpenAI API compatible server, you can connect to popular tools such as: - Local chat frontends: Ollama, Jan, text-generation-webui - Code assistants like Continue, llm-vscode by HuggingFace - Other productivity tools like the llm command line tool You gain Burr's observability, logging, and persistence across your applications. This allows you to shar...

Avoid dead notebooks with the Hamilton Jupyter extension

Custom State Serialization and Deserialization with Burr

Demonstrating fork workflow using state persistence for speeding up agent development with Burr

Think Micro: why modular machine learning (ML) pipelines are better

Walkthrough of the Hamilton UI with the Iris machine learning example

Install and get started with the Hamilton UI

Hamilton User Group April 2024 Meetup

Creating Test Cases Walkthrough

Burr Conversational RAG Example Walkthrough

Quick Hamilton explainer via tryhamilton.dev

Burr Introduction

Women Who Code DS Talk: Feature Engineering with Hamilton

Hamilton Open Source March Meet-Up Recording

Hamilton User Group February 2024 Meetup Recording

Hamilton Dataflow Hub | Quick Overview of how to use it