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Argilla

AI and ML

Argilla is a data annotation tool with an API that allows you to use external models to automatic...

Updated 9 months ago by James

ML Introduction

AI and ML

Welcome to my Machine Learning and AI notebook. 🧱 AI and ML Fundamentals AI Best Practices - ...

Updated 9 months ago by James

Model Quantization

AI and ML

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

Updated 9 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months ago by James

SpaCy CoRef

AI and ML

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

Updated 10 months ago by James

Federated Learning

AI and ML Tasks

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

Updated 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months ago by James

Home Page

🌱 Seed Propagator

Welcome to the digital garden of James Ravenscroft. This site is where I keep my notes in progres...

Updated 10 months ago by James