Machine Learning
Posts about Machine Learning
Numpyro: Probabilistic Programming That Doesn’t Waste My Time
NumPy news: I remember the bad old days of probabilistic programming. You’d define a hierarchical model, hit “sample,” and then—I’m not joking—go watch …
TF 2.18 & Keras: Real-World Performance Review
I finally bit the bullet last week. After ignoring the notification icons for two months, I upgraded our main training pipeline Learn about Keras updates.
Ray and PyTorch are finally under one roof. Good riddance to the anxiety.
Actually, I should clarify – I’ve been writing distributed training scripts for the better part of five years, and let me tell Learn about PyTorch news.
RNNs Aren’t Dead: Liquid Networks in Keras 3
I distinctly remember the funeral we all held for Recurrent Neural Networks around 2019. The Transformer architecture had just Learn about Keras updates.
Keras in Late 2025: Why Transfer Learning Is Finally Boring
I spent yesterday afternoon trying to squeeze a Vision Transformer (ViT) onto a consumer-grade GPU. A few years ago, this would Learn about Keras updates.
Mastering Modern Keras: Multi-Backend Workflows and Ecosystem Integration
Keras updates: Introduction: The Evolution of Deep Learning Frameworks The landscape of deep learning has undergone a seismic shift in recent years.
Mastering Local LLM Development: From Synthetic Data to Scalable Pipelines
Local LLM: The landscape of Artificial Intelligence is undergoing a seismic shift. While massive proprietary models hosted in the cloud dominated the e…
Unlocking Bacterial Metabolism: Deep Learning and Knowledge Graphs with the IBIS Framework
The landscape of bacterial genomics is undergoing a seismic shift. As sequencing technologies become cheaper and more Learn about Ibis framework.
Python Quantum Computing: Architecting the Future with Qiskit and Modern Tooling
The intersection of quantum mechanics and software engineering has birthed a new paradigm: Python quantum computing. While the hardware reli…
Marimo Notebooks: The Reactive Revolution in Python Data Science
For over a decade, the Jupyter notebook has been the de facto standard for data exploration, scientific computing, and Learn about Marimo notebooks.