An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

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Open-Source SDK for building apps

rdkit bindings for Rust

Python script to perform fingerprinting and calculate Tanimoto similarities on multiple compounds.

Rust crate for linking against the RDKit C++ API

Orchestrate end-to-end encryption, cryptographic identities, mutual authentication, and authorization policies between distributed applications – at massive scale.

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

🏆 A ranked list of awesome machine learning Rust libraries.

H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

Graph neural networks for molecular design.

Simple PoC to issue JSON Web Tokens (JWTs) with a canister on the Internet Computer.

Execution of and interaction with external processes and pipelines

Allows to distribute computations across several nodes

User-friendly Scheduler for sub-node tasks for HPC systems

Dask scheduler written in Rust

MPI bindings for Rust

Rust bindings for the Python interpreter

A WebAssembly runtime for TypeScript and JavaScript on ICP

Rust bindings to chemfiles

A Document Management System, written in Rust

Awesome deep learning crate