Building an enterprise-grade NLP Pipeline for financial services using Pachyderm, Seldon, and FinBert.
A Free technical workshop where we build a end-to-end market sentiment NLP implementation in the open.
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Pachyderm Events
Everything from webinars to conference announcements and more.
Examples
For those who like to learn while doing.
OpenCV (aka "Hello World")
This tutorial walks you through the deployment of a Pachyderm pipeline to do simple edge detection on a few images.
View on GitHubML Pipeline for Tweet Generation (gpt-2)
In this example we'll create a machine learning pipeline that generates tweets using OpenAI's gpt-2 text generation model.
View on GitHubDistributed hyperparameter tuning
This example demonstrates how you can evaluate a model or function in a distributed manner on multiple sets of parameters.
View on GitHubSpouts
This example connects to an IMAP mail account, collects all the incoming mail and analyzes it for positive or negative sentiment, sorting the emails into directories in its output repo with scoring information added to the email header "X-Sentiment-Rating"
View on GitHubMnist with TFJob and Pachyderm
This example uses the canonical mnist dataset, Kubeflow, TFJobs, and Pachyderm to demonstrate an end-to-end machine learning workflow with data provenance.
View on GitHubCreate a Join Pipeline
In this example, we will create a join pipeline. A join pipeline executes your code on files that match a specific naming pattern.
View on GitHub