This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
machine-learning
deep-learning
nlp
natural-language-processing
privacy
ner
transformers
pii
named-entity-recognition
spacy
flair
Обновлено 2024-12-02 09:36:35 +03:00
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Обновлено 2024-12-01 22:09:05 +03:00
Azure Data Explorer can provide valuable insights into your IoT workloads. In the following Hands-On Lab we look at thermostat IoT Devices that are in 3 different office buildings.
Обновлено 2024-04-30 01:41:27 +03:00
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation [ICML 2021]
Обновлено 2024-03-27 20:07:44 +03:00
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
Обновлено 2023-06-12 21:21:58 +03:00
Performance Robustness Evaluation for Statistical Classifiers
Обновлено 2023-01-26 02:24:27 +03:00
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
Обновлено 2022-12-22 18:06:09 +03:00
This repository stores several Notebooks that implements multiple Document Matching data science approaches and evaluation metrics.
Обновлено 2017-08-30 23:27:07 +03:00