Python Domain-classifier Resources

POT: Python Optimal Transport This open source Python library provide several solvers for optimization problems related to Optimal Transport for signa

A supervised domain-agnostic framework that allows for probabilistic modelling, namely the prediction of probability distributions for individual data

lime This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predict

Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The

fastZ: Lumped-Element Impedance Calculator fastZ is a small tool for calculating and visualizing electrical impedance in Python. Features include: Sup

LiDAR-Transfer Transfer SemanticKITTI labeles into other dataset/sensor formats. Content Convert datasets (NUSCENES, FORD, NCLT) to KITTI format Minim

The YouTube ads blocklist project This is an open project to maintain a list of domain names that serve YouTube ads. The original project only produce

Domain-driven e-commerce for Django Oscar is an e-commerce framework for Django designed for building domain-driven sites. It is structured such that

Fly Dev Tunnel Developers commonly use apps like ngrok, localtunnel, or cloudflared to expose a local web service at a publicly-accessible URL. This i

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specialized entity categories for different domains.

MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \

R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement

Region Proportion Regularized Inference (RePRI) for Few-Shot Segmentation In this repo, we provide the code for our paper : "Few-Shot Segmentation Wit

lime This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predict

DrQA This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions. Quick Link

A Python package implementing a new model for text classification with visualization tools for Explainable AI 🍣 Online live demos: http://tworld.io/s

pkuseg：一个多领域中文分词工具包 (English Version) pkuseg 是基于论文[Luo et. al, 2019]的工具包。其简单易用，支持细分领域分词，有效提升了分词准确度。 目录 主要亮点 编译和安装 各类分词工具包的性能对比 使用方式 论文引用 作者 常见问题及解答 主要

OPFython: A Python-Inspired Optimum-Path Forest Classifier Welcome to OPFython. Note that this implementation relies purely on the standard LibOPF. Th

Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The