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Model Quantization

AI and ML

Deploying models that are performant (obviously statistically but in this context I primarily mea...

Updated 2 years ago by James

AI Causing Chaos

AI and ML

So much AI turns out to be low-waged people in a call center in the Global South pretending to ...

Updated 2 years ago by James

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 2 years 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 2 years 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 2 years 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 2 years 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 2 years 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 2 years ago by James

SpaCy CoRef

AI and ML

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

Updated 2 years ago by James

Federated Learning

AI and ML Tasks

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

Updated 2 years 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 2 years 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 2 years 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 2 years 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 2 years 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 2 years 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 2 years 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 2 years ago by James

Design Frameworks

Software Misc

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

Updated 2 years 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 2 years 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 2 years ago by James