111 Repositories
Python distance-correlation Libraries
A Python library that helps data scientists to infer causation rather than observing correlation.
A Python library that helps data scientists to infer causation rather than observing correlation.
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
Smart Social Distancing Smart Social Distancing Introduction Getting Started Prerequisites Usage Processor Optional Parameters Configuring AWS credent
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure pyt
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
Simple SDF mesh generation in Python
Generate 3D meshes based on SDFs (signed distance functions) with a dirt simple Python API.
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure pyt
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure pyt
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
Contents Maintainer wanted Introduction Installation Documentation License History Source code Authors Maintainer wanted I am looking for a new mainta
Levenshtein and Hamming distance computation
distance - Utilities for comparing sequences This package provides helpers for computing similarities between arbitrary sequences. Included metrics ar