Обновлено 2024-11-20 21:29:39 +03:00
PostgreSQL Tools Service that provides PostgreSQL Server data management capabilities.
Обновлено 2024-11-20 03:15:06 +03:00
Provides a set of useful tools, utilities, reusable components, and React hooks that are designed to capture common components and utilities common among Essex Alpha team projects.
Обновлено 2024-11-18 22:04:11 +03:00
Remote Assets of Firefox Messaging System
Обновлено 2024-10-21 18:47:43 +03:00
this repo provides best practice guidance, plan template, solution assessment tool etc. to help Machine Learning Studio(classic) customer adopt Azure Machine Learning.
Обновлено 2024-07-23 05:46:51 +03:00
a CLI that provides a generic automation layer for assessing the security of ML models
Обновлено 2023-10-04 03:30:41 +03:00
The News Threads pipeline processes large volumes of document content, using machine learning to find derived text fragments and trace them to their original sources. The backend pipeline is written for Python.
Обновлено 2023-07-23 19:20:34 +03:00
Customisable 3D environment for assessing generalisation in Reinforcement Learning.
Обновлено 2023-06-12 21:22:16 +03:00
Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.
Обновлено 2023-06-12 21:21:58 +03:00
Python library for pedagogical auto-assessment
Обновлено 2022-08-17 12:50:47 +03:00
Web server that receives gzip'd POST requests and saves them uncompressed locally
Обновлено 2022-06-20 18:29:55 +03:00
Automated auto-assessment with PyBryt via GitHub Actions
Обновлено 2022-03-01 19:34:29 +03:00
Python classes for the SARIF object model
Обновлено 2021-02-03 17:58:21 +03:00
Create a backlog of actionable work items in alignment with various processes based on proven practices.
Обновлено 2020-07-23 05:23:15 +03:00
Generate source code for a set of Python classes from a JSON schema.
Обновлено 2019-10-06 22:05:12 +03:00
Class that calculates portfolio performance in USD given asset weights in portfolio, asset prices in different currencies and currencies rate to dollar.
Обновлено 2019-07-29 15:29:13 +03:00
agogosml is a flexible data processing pipeline that addresses the common need for operationalizing ML models at scale
Обновлено 2019-05-03 23:28:32 +03:00
Convert a Unity Asset Server database to a git repository
Обновлено 2017-05-24 15:28:18 +03:00
INACTIVE - http://mzl.la/ghe-archive - Reset a users running processes to a previously recorded state.
Обновлено 2015-08-26 03:46:42 +03:00