Blog – Machine Learning & AI | Architecture & Performance

Machine Learning & AIen27 Apr 2026

Running a private Qwen3.6 Coding Agent on Scaleway

This is the Scaleway sequel to two previous posts on self-hosted coding agents: the AWS run where we deployed a 27B model on a g5.xlarge, and the…

#LLM#Qwen#llama.cpp

Machine Learning & AIen18 Apr 2026

Running a Local LLM on a Consumer GPU [8 GB VRAM]

In a previous post, we ran Qwen3.5-27B on an AWS g5.xlarge with an NVIDIA A10G (24 GB VRAM).

#LLM#Qwen#llama.cpp

Machine Learning & AIen11 Apr 2026

Running a Local LLM Coding Agent on AWS

We deploy Qwen3.5-27B on a single GPU instance, serve it with llama.cpp, wire it to OpenCode as a coding agent frontend, and run ToolCall-15 to measure…

#LLM#Qwen#llama.cpp

Machine Learning & AIen11 May 2025

Zipf's Law on "La Comédie humaine"

In this Python notebook, we're going to explore Zipf's law as applied to words. This is the definition of Zipf's law from its wikipedia page.

#scraping#Python#scikit-learn

Machine Learning & AIen10 Nov 2024

Analyzing tramontane wind frequency

The tramontane wind, a defining feature of Pyrénées-Orientales region, is known for sweeping through the south of France with its characteristic force and…

#Python#Pandas#regression

Machine Learning & AIen1 Mar 2024

Calculating walking isochrones with Python

In this blog post, we'll explore how to calculate walking isochrones using Python, taking into account the slope of the terrain.

#Python#Isochrones#Spatial analysis

Machine Learning & AIen15 Sept 2023

Calculating daily mean temperatures with scikit-learn

The goal is of this post is to predict the daily mean air temperature TAVG from the following climate data variables: maximum and minimum daily…

#Python#supervised learning#regression

Machine Learning & AIen3 Sept 2021

Built-in Expectations in Great Expectations

Great expectation is a Python tool for data testing, documentation, and profiling.

#Python#Data testing#MLOps

Machine Learning & AIen29 Jan 2021

Saving a tf.keras model with data normalization

Training a DL model might take some time, and make use of some special hardware.

#Datascience#Python#Machine Learning

Machine Learning & AIen28 Aug 2020

Minimizing continuous non-convex functions with Optuna

In this post, we are going to deal with single-objective continuous optimization problems, using the open-source Optuna Python package.

#Python#Optuna#Optimization

Machine Learning & AIen23 Jun 2020

Some cool open-source Python packages for Machine Learning Ep 5

There is a very rich ecosystem of Python libraries related to ML.

#Datascience#Machine Learning#MLOps

Machine Learning & AIen20 Jan 2020

Fetching AROME weather forecasts and plotting temperatures

Accurate weather forecasts might be very usefull for various types of models.

#Datascience#Python#Machine Learning

Machine Learning & AIen8 Jan 2020

Some cool open-source Python packages for Machine Learning Ep 4

There is a very rich ecosystem of Python libraries related to ML.

#Datascience#Machine Learning#Python

Machine Learning & AIen23 Oct 2019

Some cool open-source Python packages for Machine Learning Ep 3

There is a very rich ecosystem of Python libraries related to ML.

#Machine Learning#Datascience#Python

Machine Learning & AIen9 Aug 2019

First try of auto-sklearn

Since we are big users of scikit-learn and XGBoost, we wanted to try a package that would automate the process of building a machine learning model with…

#Datascience#Machine Learning#Python

Machine Learning & AIen8 Aug 2019

Some cool open-source Python packages for Machine Learning Ep 2

There is a very rich ecosystem of Python libraries related to ML.

#Machine Learning#Datascience#Python

Machine Learning & AIen11 Jul 2019

Some cool open-source Python packages for Machine Learning Ep 1

There is a very rich ecosystem of Python libraries related to ML.

#Machine Learning#Datascience#Python

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All articles

Running a private Qwen3.6 Coding Agent on Scaleway

Running a Local LLM on a Consumer GPU [8 GB VRAM]

Running a Local LLM Coding Agent on AWS

Zipf's Law on "La Comédie humaine"

Analyzing tramontane wind frequency

Calculating walking isochrones with Python

Calculating daily mean temperatures with scikit-learn

Built-in Expectations in Great Expectations

Saving a tf.keras model with data normalization

Minimizing continuous non-convex functions with Optuna

Some cool open-source Python packages for Machine Learning Ep 5

Fetching AROME weather forecasts and plotting temperatures

Some cool open-source Python packages for Machine Learning Ep 4

Some cool open-source Python packages for Machine Learning Ep 3

First try of auto-sklearn

Some cool open-source Python packages for Machine Learning Ep 2

Some cool open-source Python packages for Machine Learning Ep 1

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