- Copenhagen, Denmark
Stars
A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.
An orchestration platform for the development, production, and observation of data assets.
Create a React library with Vite and Typescript
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The Elastic stack (ELK) powered by Docker and Compose.
Core validation logic for pydantic written in rust
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, iβ¦
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
A React component for building Web forms from JSON Schema.
An accelerator to help organizations build Trusted Research Environments on Azure.
Pytorch Implementation of Google's TFT
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
π Metadata tracking and UI service for Metaflow!
MLOps using Azure ML Services and Azure DevOps
an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
A GraphQL library for Python that leverages type annotations π
π Automatic documentation from sources, for MkDocs.
The dash-extensions package is a collection of utility functions, syntax extensions, and Dash components that aim to improve the Dash development experience
Collection of library stubs for Python, with static types
A template Plotly Dash app in Python, with basic user management & authentication
Rasterio reads and writes geospatial raster datasets
Best Practices on Recommendation Systems
Google Research



