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Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
R Package for Data-Driven Antimicrobial Stewardship & Surveillance in Hospitals
Experimental Research Computing documentation generation using mkdocs
An LLM playground you can run on your laptop
An accelerator to help organizations build Trusted Research Environments on Azure.
DARE UK Sprint Project: Trusted Research Environment and Enclave for Hosting Open Original Science Exploration
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
FlowEHR is a safe, secure & cloud-native development & deployment platform for digital healthcare research & innovation.
Test repo to connect up to NHS digital API's
Example Terraform code to create a load-balanced service on AWS EC2.
Classification webapp for the Turing Data Safe Haven
Exploratory analysis of Bayesian models with Python
Use the world of Python from the comfort of Scala!
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A command-line and interactive shell framework.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Bayesian Modeling and Probabilistic Programming in Python