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Dell XPS 13 9305

Devices and Tech

I had one as my daily driver at work from late 2020 to late 2023. I was so pleased with it I boug...

Updated 5 months ago by James

Availability

PKM

As tempting as it is, there is no need to be always available to others via instant messenger. Al...

Updated 6 months ago by James

Argilla

AI and ML

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

Updated 1 year ago by James

Model Quantization

AI and ML

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

Updated 1 year 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 1 year 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 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