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Transformers.js.py accelerated on-device inference with Python WASM

python

wasm

js

inference

onnxruntime

I’ve previously talked about onnxruntime-web that enables accelerated on-device inference. There’s now a wrapper that proxy Transformers.js to Pyodide. In this post I’ll share how to do just that!

Hampus Londögård

Mini: DeepSeek’s smallpond - a distributed duckdb

python

data

distributed

Open Source software that’d cost millions if not billions of $! I share my quick thoughts on smallpond that runs DuckDB distributed through Ray by DeepSeek (creators of R1 LLM).

Hampus Londögård

Marimo WASM Apps

python

wasm

app

I built a simple but sweet tool to assist you with CSV, JSON & Parquet files. Explore data? Convert? Play around - I got you covered!

Hampus Londögård

TIL: Programatically Fetch Python Class/File Dependencies

python

dependencies

It’s quite common in the Machine Learning realm to launch jobs remotely, and in serverless you essentially do the same. This small gist enables simple tree-shaking fetching (recursively) only relevant local files for your python Class, or file.

Hampus Londögård

MLFlow Models: Self-Contained ML Models with MLFlow

python

mlflow

deployment

machine-learning

Most in the machine learning community knows about MLFlow and uses it to track experiments. One of multiple ‘extras’ is the MLFlow Model which integrates with the Model Registry. The MLFlow Model is quite cool and I’ll share how you can build your self-contained ML models.

Hampus Londögård

Gradio Client - An intro

python

app

rest

machine-learning

Gradio is well-known in the Machine Learning community, and recently they expanded their Apps to automatically include a REST API - Gradio Client, it’s awesome and here’s how it works!

Hampus Londögård

Marimo - A new Notebook/App on the block!

python

app

notebook

Marimo tries to replace multiple tools by being a Reactive Notebook (reproducible), Web App and Python Script at once. It’s a beautiful kit that could end up accelerating in adoption quickly.

Hampus Londögård

Image to Lego (Xmas Project)

python

project

packaging

A childs dream - turning any image into a LEGO Build. In this blog I walk through my xmas project.

Hampus Londögård

Pixi - Real World Usage

python

dependencies

packaging

The last few weeks I’ve put Pixi to the test, utilizing it in real world usage

Hampus Londögård

Data Loading - Comparing Common Tooling

data

loading

Minibenchmark and Developer Experience (DX) between the choices

Hampus Londögård

Data Loading - Daft

TIL

daft

data

The first of multiple blog posts about Data Loading in Deep Learning

Hampus Londögård

ZenML or ClearML? Which MLOps tool strikes best?

mlops

There’s a ton of MLOps tool and I gathered into two open source version that I wanted to try

Hampus Londögård

Streamlit Fragments - Make the Dashboard Dream come true

streamlit

Streamlit is a cool tool that’s incredibly powerful yet simple! Recently they added ‘fragments’ which enables true dashboarding without the continuous full reload!

Hampus Londögård

TIL: Pixi by prefix.dev

TIL

I love micromamba, but pixi seems like the natural next step moving forward!

Hampus Londögård

TIL: Stlite - running streamlit in WASM through b64-encoded URL’s

TIL

I recently learned about Stlite, a port of Streamlit to Pyodide that enables running Streamlit fully inside the browser (WASM)!

Hampus Londögård

TIL: Building Docker Images with Conda and Custom Users (and devcontainers!)

TIL

When building Docker containers there’s a few things to clarify:

Hampus Londögård

TIL: Multiple Git Remotes

TIL

Some instructions on how to use multiple remotes

Hampus Londögård

Solara, League of Legends and Deep Learning to extract E-Sport Highlights

data

machine-learning

deep-learning

fun

solara

I share my journey developing a user-friendly Data App using Solara, where I tackle challenges, gain insights, and implement improvements in threading and Plotly callbacks.

Hampus Londögård

Automatic Highlight Detection of League of Legends Streams

data

machine-learning

deep-learning

fun

In this post I share the way I built a Deep Learning tool to extract LoL Highlights

Hampus Londögård

Solara - ‘A new Reactive Streamlit’

data

dashboard

webapp

Solara is a fresh and exciting web framework that enables React-style state-handling while keeping UI (almost) as easy as Streamlit. Further by design it seems to have a bigger industrial potential than Streamlit.

Hampus Londögård

Kotlin DataFrame vs Polars DataFrame

dataframe

I work using Scala, Kotlin & Python. There’s two DataFrame API’s (polars & Kotlin DataFrame) which I’d like to benchmark.

Hampus Londögård

DuckDB - Quacking Data (WIP)

data

pipeline

DuckDB is particularly well-suited for Online Analytical Processing (OLAP) tasks, which involve analyzing large datasets to gain insights and generate reports. Its columnar storage format and vectorized query engine enable fast and efficient data processing, even on complex analytical queries. Additionally, DuckDB supports a variety of OLAP-specific features, such as window functions, making it a powerful tool for OLAP workloads.

Hampus Londögård

Pandera - Type your Data Pipelines (WIP)

data

pipeline

type

Pandera allows you to decorate functions which will make your DataFrame’s run-time typed. This means that developers & data engineers can expect something to be true, awesome!

Hampus Londögård

Building Actionable Insights from Yelp Reviews using Setfit

deep-learning

llm

fine-tuning

setfit

Setfit: Efficient few-shot learning with Sentence Transformers is a way to train models to perform new tasks with very little data. In this blog I use SetFit to create value for restaurant owners by finding reviews that are helpful and contains improvements applicable to the restaurant using Yelp Dataset.

Hampus Londögård

Automated Data Validation & Exploration

machine-learning

data

A presentation I did at work where we walk through different tools to automate or assist Data Exploration and Validation. A very exciting topic for sure!

Hampus Londögård