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DeBERTa Zero Shot

AI and ML

The DeBERTa zero-shot model is an NLP zero-shot classifier trained by Moritz Laurer and made publ...

Updated 1 year ago by James

Stable Diffusion

AI and ML

Web UI API Run the web UI with: ./webui.sh --api   Example Python Script import webuiapi ...

Updated 1 year ago by James

From Crowd Ratings to Predictive Models of Newsworthiness to Support Science Journalism

AI and ML

Paper Link Authors: Sachita Nishal Nicholas Diakopoulos Notes Their work comes at the pr...

Updated 1 year ago by James

Stratified Sampling in Pandas

AI and ML

Use groupby on the label column to create sub-frames for each label and then use the sample() fu...

Updated 1 year ago by James

Core Scientific Concepts (CoreSC)

AI and ML

Core Scientific Concepts (CoreSC) is an annotation scheme used to delineate different parts of sc...

Updated 1 year ago by James

Large Scale Multi-Label Learning

AI and ML Tasks

The Keras website has a tutorial on how to do multi-label learning with a large number of labels:...

Updated 1 year ago by James

SpaCy CoRef

AI and ML

Spacy Coref is an experimental coreference resolution model in spacy The project repository is he...

Updated 1 year ago by James

Federated Learning

AI and ML Tasks

Flower is a federated learning framework with compatibility with Torch, Tensorflow and others

Updated 1 year ago by James

SpaCy GPU

AI and ML

Set Up Environment It's relatively easy to use SpaCy with a GPU these days. First set up your con...

Updated 1 year ago by James

ML Best Practices

AI and ML

Machine learning is a complex and multifaceted activity that requires the combination of a number...

Updated 1 year ago by James

Explainability

AI and ML Explainability and Model Analysis

Explainability is a big challenge in machine learning. I wrote a blog post about the ELI5 library...

Updated 1 year ago by James

Model Confidence Scores

AI and ML Explainability and Model Analysis

Many ML classification models can provide a confidence score which tells the user how confident t...

Updated 1 year ago by James

Learning with Limited Data

AI and ML Machine Learning with Limited Data

Good machine learning is heavily dependent on good data. A few more good data-points is likely to...

Updated 1 year ago by James

Relationship Extraction

AI and ML Tasks

Relationship Extraction (RE) is a task that is related to Coreference Resolution but with a focus...

Updated 1 year ago by James

Pattern Exploitative Training

AI and ML Machine Learning with Limited Data

PET or Pattern Exploitative Training @article{schick2020exploiting, title={Exploiting Cloze Qu...

Updated 1 year ago by James

Design Frameworks

Software Misc

Design frameworks provide out of the box styling and components for use in websites. Many framewo...

Updated 1 year ago by James

Mental Health Primer

Mental Health

May I have the serenity to accept the things I cannot change,the courage to change the things I...

Updated 1 year ago by James

Exporting Issues from Linear

JIRA Migrating from Linear to JIRA

The first step we need to take is to export our issues from linear. The easiest way to do this is...

Updated 1 year ago by James

Deploying Django Apps

Python Django

Packaging a Django App in Docker I wrote a blog about packaging django apps up for shipping in d...

Updated 1 year ago by James

Django and PostgreSQL

Python Django

When working with Django and PostgreSQL it is typically best to use the psycopg[binary] package: ...

Updated 1 year ago by James