Decorator-based transformation, serialization, and deserialization between objects and classes.
-
Updated
Sep 26, 2023 - TypeScript
Decorator-based transformation, serialization, and deserialization between objects and classes.
🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
A simple but highly customizable UICollectionViewLayout for UICollectionView -- Simple SwiftUI views that let you make page-view effects.
High-performance Data-Driven Data Specification Library for Clojure/Script.
A highly configurable MQTT message router, where the routing targets are notification plugins, primarily written in Python.
SQLMesh is a data transformation framework that brings the benefits of DevOps to data teams. It enables data scientists, analysts, and engineers to efficiently run and deploy data transformations written in SQL or Python.
Flexible Intermediate Representation for RTL
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
💠 transform html with javascript plugins
Automated face warping tool.
An Android transformation library providing a variety of image transformations for Coil, Glide, Picasso, and Fresco.
A small library for converting between case classes.
🎱 Composable, transformable, controllable randomness.
CATransform3D manipulation made easy.
StarNet
Automate the measurement of organizational behavior
🔲 Warp image transformation
Image Processing techniques using OpenCV and Python.
Add a description, image, and links to the transformation topic page so that developers can more easily learn about it.
To associate your repository with the transformation topic, visit your repo's landing page and select "manage topics."