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Top 22 Word2vec Open-Source Projects
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Project mention: Show HN: LLMs can generate valid JSON 100% of the time | news.ycombinator.com | 2023-08-14
I have some other comment on this thread where I point out why I don’t think it’s superficial. Would love to get your feedback on that if you feel like spending more time on this thread.
But it’s not obscure? FlashText was a somewhat popular paper at the time (2017) with a popular repo (https://github.com/vi3k6i5/flashtext). Their paper was pretty derivative of Aho-Corasick, which they cited. If you think they genuinely fucked up, leave an issue on their repo (I’m, maybe to your surprise lol, not the author).
Anyway, I’m not a fan of the whatabboutery here. I don’t think OG’s paper is up to snuff on its lit review - do you?
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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japanese-words-to-vectors
Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.
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I made a Codenames AI years ago (https://github.com/thomasahle/codenames) but it never got many users, because it only had a terminal interface. So today I made a website version, at least of the "AI as spymaster, User as guesser" version of the game.
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dutch-word-embeddings
Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.
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YassQueenDB
Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀
Project mention: I created an Easy to Use dimensionless vector database. GitHub - nileshkhetrapal/YassQueenDB: Graph database library that allows you to store, analyze, and search through your data in a graph format.📚🧠🚀 | /r/programming | 2023-04-23 -
Project mention: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text | news.ycombinator.com | 2023-12-03
There are character embeddings that allow one to recover word embedding just by summing embeddings of individual bytes/chars in the word: https://github.com/sonlamho/Char2Vec
The encodings of LM's tokens reserve individual characters so that scrambled or new words can be encoded. And most LM's are trained on scrambled words as part of training copus, thus, they learn character-level embeddings.
Thus, basically, the paper is a very old news. This behavior is expected.
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Romanian-Word-Embeddings
Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).
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NLP-CNN-Subreddit-Sorter-Heroku-App
End-to-end development of an application using a convolutional neural network that suggests to users/moderators which technical subreddit a post actually belongs to. Novel method to determine # of CNN filters. Custom Word2vec embeddings. The subreddits chosen are all technical and similar, and benefit users/moderators interested in data science and related fields. (Exploratory data analysis, feature engineering, custom word2vec embeddings, convolutional neural network, deployment via flask to
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- graph_summarizer
- What tech do I need to learn to programmatically parse ingredients from a recipe?
- Compressing high-dimensional vectors by 97%
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Index
What are some of the best open-source Word2vec projects? This list will help you:
Project | Stars | |
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1 | gensim | 15,212 |
2 | flashtext | 5,528 |
3 | scattertext | 2,196 |
4 | magnitude | 1,610 |
5 | textaugment | 370 |
6 | koan | 261 |
7 | pyRDF2Vec | 240 |
8 | word2vec | 187 |
9 | textfeatures | 167 |
10 | postgres-word2vec | 140 |
11 | text-summarizer | 113 |
12 | finalfusion-rust | 85 |
13 | japanese-words-to-vectors | 82 |
14 | codenames | 48 |
15 | dutch-word-embeddings | 41 |
16 | YassQueenDB | 14 |
17 | Char2Vec | 13 |
18 | Romanian-Word-Embeddings | 12 |
19 | recommendation-system | 10 |
20 | embeddings_plot | 2 |
21 | NLP-CNN-Subreddit-Sorter-Heroku-App | 1 |
22 | graph_summarizer | 0 |