- [OC] I wrote some code to generate comparable NBA players for the top prospects in the Draft. I've come to share the results. https://en.wikipedia.org/wiki/Cosine_similarity 274 comments nba
Linking pages
- Who wrote the anti-Trump New York Times op-ed? Using tidytext to find document similarity – Variance Explained http://varianceexplained.org/r/op-ed-text-analysis/ 84 comments
- The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-word2vec/ 58 comments
- Why I sometimes like to write my own number crunching code https://dragan.rocks/articles/21/Pimp-my-Clojure-number-crunching 41 comments
- Dense Vector Search :: Apache Solr Reference Guide https://solr.apache.org/guide/solr/latest/query-guide/dense-vector-search.html 37 comments
- Building an image search service from scratch | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/the-unreasonable-effectiveness-of-deep-learning-representations-4ce83fc663cf 36 comments
- Language-Agnostic BERT Sentence Embedding – Google AI Blog https://ai.googleblog.com/2020/08/language-agnostic-bert-sentence.html 35 comments
- Unsupervised speech-to-speech translation from monolingual data – Google Research Blog https://blog.research.google/2023/12/unsupervised-speech-to-speech.html 29 comments
- How to Write Your Own Recommendation System, Part 1: Small Scale | by Elliot Chance | Medium http://elliot.land/how-to-write-your-own-recommendation-system-part-1 24 comments
- Machine Learning for a Better Developer Experience | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/machine-learning-for-a-better-developer-experience-1e600c69f36c 20 comments
- GitHub - ekzhu/SetSimilaritySearch: All-pair set similarity search on millions of sets in Python and on a laptop https://github.com/ekzhu/SetSimilaritySearch 19 comments
- Fuzzyset - an interactive human-readable visualization of a code library http://glench.github.io/fuzzyset.js/ui/ 17 comments
- GitHub - andreekeberg/ml-classify-text-js: Machine learning based text classification in JavaScript using n-grams and cosine similarity https://github.com/andreekeberg/ml-classify-text-js 14 comments
- Vectors From Leibniz to Einstein | https://mathenchant.wordpress.com/2023/12/17/vectors-from-leibniz-to-einstein/ 14 comments
- Neural Language Models Explained – Ofir Press http://ofir.io/Neural-Language-Modeling-From-Scratch?a=1 11 comments
- Build an AI Search Engine Using FastAPI, Qdrant, and ChatGPT https://dylancastillo.co/ai-search-engine-fastapi-qdrant-chatgpt/ 11 comments
- Neural Language Models Explained – Ofir Press http://ofir.io/Neural-Language-Modeling-From-Scratch/ 10 comments
- Grasp2Vec: Learning Object Representations from Self-Supervised Grasping – Google AI Blog https://ai.googleblog.com/2018/12/grasp2vec-learning-object.html 9 comments
- Accelerating vector operations on the JVM using the new jdk.incubator.vector module - Alex Klibisz https://alexklibisz.com/2023/02/25/accelerating-vector-operations-jvm-jdk-incubator-vector-project-panama 8 comments
- GitHub - hbollon/go-edlib: 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc... https://github.com/hbollon/go-edlib 7 comments
- Using pgvector, LLMs and LangChain with Google Cloud databases | Google Cloud Blog https://cloud.google.com/blog/products/databases/using-pgvector-llms-and-langchain-with-google-cloud-databases 7 comments
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