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This is a list of (Fuzzy) Data Matching software. The software in this list is open source and/or freely available.

The term data matching is used to indicate the procedure of bringing together information from two or more records that are believed to belong to the same entity. Data matching has two applications: (1) to match data across multiple datasets (linkage) and (2) to match data within a dataset (deduplication). See the Wikipedia page about data matching for more information.

Similar terms: record linkage, data matching, deduplication, fuzzy matching, entity resolution

Suppose we want to combine a BERT-based named entity recognition (NER) model with a rule-based NER model built on top of spaCy. Although BERT's NER exhibits extremely high performance, it is usually combined with rule-based approaches for practical purposes. In such cases, what often bothers us is that tokens of spaCy and BERT are different, even if the input sentences are the same. For example, let's say the input sentence is "John Johanson 's house"; BERT tokenizes this sentence like ["john", "johan", "##son", "'", "s", "house"] and spaCy tokenizes it like ["John", "Johanson", "'s", "house"]. To combine the outputs, we need to calculate the correspondence between the two different token sequences. This correspondence is the "alignment".

Simple command line tool for text to image generation using OpenAI's CLIP and Siren.

Instead, I have a computer that is designed largely to maximize the profits of the computer industry. Except for a handful of very over-priced models that I can't afford to buy, our computers are increasingly designed to be little more than advertising platforms and vehicles for maximizing the cloud revenues of their true owners: online data gatherers, advertisers, and cloud companies. Our computers have numerous hardware and software back doors that are designed to allow governments and corporations to spy on and track us around the Internet.

WHIP is a high performance web application server based on the excellent httpbeast and routing provided by nest with some additional optimizations.

WHIP is still in development and is not recommended for production use. Much is still missing or untested but for basic API use cases however, the performance numbers look pretty good so far.

Free and Open Source Machine Translation API, entirely self-hosted. Unlike other APIs, it doesn't rely on proprietary providers such as Google or Azure to perform translations.

An open source research project exploring the role of machine learning as a tool in the creative process.

Axe is an accessibility testing engine for websites and other HTML-based user interfaces. It's fast, secure, lightweight, and was built to seamlessly integrate with any existing test environment so you can automate accessibility testing alongside your regular functional testing.

The SOUL project is creating a new language and infrastructure for writing and deploying audio code. It aims to unlock improvements in latency, performance, portability and ease-of-development that aren't possible with the current mainstream techniques that are being used.

GPT-Neo is the code name for a series of transformer-based language models loosely styled around the GPT architecture that we plan to train and open source. Our primary goal is to replicate a GPT-3 sized model and open source it to the public, for free.

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