Powerful & efficient multilingual ML APIs
Full control of the entire training process with minimum amount of code. Functional API with extensive class system and type checking.
rtemis
Advanced Machine Learning and Visualization.
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Interactive web applications
Bringing advanced data science to all scientists in a no-code environment.
Online books
Continuously updated and available to all. Learn at your own pace, master your data.
The rtemis ecosystem makes advanced machine learning accessible to all - scientists, clinicians, statisticians, computer scientists.
To do this, it provides:
- powerful, low-code APIs: high-level functions with complete controls of the entire data pipeline.
- no-code web applications: interactive, user-friendly interfaces.
It is actively used for:
- Machine learning algorithm development.
- Applied data science, with emphasis on biomedical basic research, clinical predictive modeling, and public health.
- Health Data Science education.
rtemis consists of 10 interconnected packages that work together to provide a complete ML ecosystem.
APIs
- rtemis: ML & visualization API in R.
- rtemisPy: ML & visualization API in Python.
- rtemis.jl: ML & visualization API in Julia.
- rtemisbio: Bioinformatics extension in R.
- kaimana-r: API access to state-of-the-art open source LLMs in R.
- kaimana-py: API access to state-of-the-art open source LLMs in Python.
Web applications
- rtemislive: Web application for ML & visualization.
- rtemisSeq: Interactive protein sequence visualization.
- rtemisXt: Interactive time-series data visualization.
- kaimana: AI Agent Chatbot using state-of-the-art open source LLMs.
Visit the Documentation links in the navigation bar to get started.