Continual
Machine learning for your cloud data warehouse
Continual launched on February 15, 2022 with 83 votes, #488 of 2,645 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.
What it does
Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
Take control of your data and operations with software and AI agents built for how your business actually works.
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Continuous Machine Learning – CI/CD for Machine Learning Projects2020 · cml.dev · ▲171Bring DevOps practices to your projects for automatic, reproducible, and fast machine learning.
Continual Learning with .mdApr 2026 · github.com · ▲34I have a proposal that addresses long-term memory problems for LLMs when new data arrives continuously (cheaply!). The program involves no code, but two Markdown files. For retrieval, there is a semantic filesystem that makes it easy for LLMs to search using shell commands. It is currently a scrappy v1, but it works better than anything I have tried. Curious for any feedback!
Mini-AGI – Dynamic continual learning model trained on 8GB VRAMSep 2026 · github.com · ▲277Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI
Azure - Machine Learning2014 · azure.microsoft.com · ▲81Powerful cloud-based predictive analytics, ML as a Service

Amazon Machine Learning 2015 · aws.amazon.com · ▲211Machine learning made easy for developers of any skill level
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