Cloud Functions gives developers access to Firebase and Google Cloud| Firebase
SystemSix| www.engineersneedart.com
Genetic algorithms are fun, they require a different way of thinking. Here I’ll guide you through my process of building an algorithm that evolves 150 rando...| 4DCu.be
This article shares experiences with Python drawing libraries that I was missing when I started. The primary audience are software engineers who are looking for the tool for simple graphics. In 2020 the pandemic disrupted life. This included the cancellation of the traditional May Bumps rowing race that happens in Cambridge every year. Therefore, a group of rowing enthusiasts got together and organised a decentralized running event called Virtual May Bumps. It’s been a great success in brin...| Daniel Hugenroth
Your browser does not support the video tag.Magicore Anomala is an Amiga game I'm working on. Watch the newest gameplay demo in full: Link| dansalva.to
Watch the newest gameplay demo of Magicore Anomala: Link| dansalva.to
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
PyScript – or rather Python in your browser + what can be done with it? A few days ago, the Anaconda project announced the PyScript framework, which allows Python code to be executed directly in the browser. Additionally, it also covers its integration with HTML and JS code. An execution of the Python code in ...| research.securitum.com
If you’re looking to build your Python skills, there are a bunch of| startcodingnow.com
Local Docker Setup| startcodingnow.com
Tutorial on building production-ready serverless Machine Learning pipeline on AWS Lambda and solving common problems: bundle size, performance, latency.| Better Dev .blog
Machine learning capabilities with Elixir have expanded significantly in recent years. Sean Moriarity discusses some of those developments and compares Elixir's machine learning abilities with Python's.| DockYard
When facing a limited amount of labeled data for supervised learning tasks, four approaches are commonly discussed. Pre-training + fine-tuning: Pre-train a powerful task-agnostic model on a large unsupervised data corpus, e.g. pre-training LMs on free text, or pre-training vision models on unlabelled images via self-supervised learning, and then fine-tune it on the downstream task with a small set of labeled samples. Semi-supervised learning: Learn from the labelled and unlabeled samples toge...| lilianweng.github.io
Gluing together clever libraries to make beautiful printed circuit boards| blog.thea.codes
Spacestills is a Python program for viewing NASA TV still frames. It’s a learning project based on the PySimpleGUI GUI framework.| blog.paoloamoroso.com
A prototype Raspberry Pi dashboard to save me talking to my smart assistant.| healeycodes.com