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Bauplan
- Italy
- https://bauplanlabs.com
- in/bigluck
Stars
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
🔒 End-to-end encrypted cloud for photos, videos and 2FA secrets.
Menu bar calendar for macOS - MVVM | RxSwift | AppKit | SwiftUI
Eudoxia: a simulator for workloads in a FaaS lakehouse
reference implementations and use cases done with bauplan
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
FashionCLIP is a CLIP-like model fine-tuned for the fashion domain.
Fast, Declarative, Reproducible, and Composable Developer Environments using Nix
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…
Official Repository for EvalRS @ KDD 2023: a Rounded Evaluation of Recommender Systems
An open source command line interface that runs checks on infrastructure as code to catch potential deployment issues before deploying.
DuckDB is an analytical in-process SQL database management system
An extremely fast Python linter and code formatter, written in Rust.
Examples and guides for using the OpenAI API
An orchestration platform for the development, production, and observation of data assets.
Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
A Visual Studio Code extension with support for the Ruff linter.
Encrypt one or more secrets with plausible deniability by design
Uses tokenized query returned by python-sqlparse and generates query metadata
Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
Behavioral "black-box" testing for recommender systems
An end-to-end implementation of intent prediction with Metaflow and other cool tools
Testing tool to create dummy responses to HTTP requests, modeled after: https://github.com/chrisk/fakeweb