Show HN: Club – new video conferencing software with fun and social features https://ift.tt/30aCOEQ March 3, 2021 at 10:57AM
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Showing posts with label March 03. Show all posts
Showing posts with label March 03. Show all posts
Thursday, March 4, 2021
Show HN: Club – new video conferencing software with fun and social features https://ift.tt/3c5LZMuTHE RIGHT PEOPLE https://ift.tt/30oPgRDTHE RIGHT PEOPLE https://ift.tt/387raz1 https://ift.tt/387raz1THE RIGHT PEOPLE https://ift.tt/3uMxUMeTHE RIGHT PEOPLE https://ift.tt/2MJu5pW https://ift.tt/2MJu5pW
Show HN: Requestbin, a simple CLI-HTTP-server for inspecting received requests https://ift.tt/3kMPUl1THE RIGHT PEOPLE https://ift.tt/3868fogTHE RIGHT PEOPLE https://ift.tt/3sIae9S https://ift.tt/3sIae9STHE RIGHT PEOPLE https://ift.tt/3uT1FuZTHE RIGHT PEOPLE https://ift.tt/3qh6DOH https://ift.tt/3qh6DOH
Show HN: Requestbin, a simple CLI-HTTP-server for inspecting received requests https://ift.tt/38pNnbN March 3, 2021 at 05:03PM
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(https://ift.tt/3e7rUaZShow HN: Ship Investor game: Practise your bet sizing intuition https://ift.tt/3kI50IBTHE RIGHT PEOPLE https://ift.tt/3sJTCyLTHE RIGHT PEOPLE https://ift.tt/3kHzXwo https://ift.tt/3kHzXwo
Show HN: Ship Investor game: Practise your bet sizing intuition https://ift.tt/3befOuK March 3, 2021 at 08:48PM
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(https://ift.tt/3sIai9CShow HN: Club – new video conferencing software with fun and social features https://ift.tt/3c5LZMuTHE RIGHT PEOPLE https://ift.tt/30oPgRDTHE RIGHT PEOPLE https://ift.tt/387raz1 https://ift.tt/387raz1
Show HN: Club – new video conferencing software with fun and social features https://ift.tt/30aCOEQ March 3, 2021 at 10:57AM
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(https://ift.tt/3c1dWolShow HN: Requestbin, a simple CLI-HTTP-server for inspecting received requests https://ift.tt/3kMPUl1THE RIGHT PEOPLE https://ift.tt/3868fogTHE RIGHT PEOPLE https://ift.tt/3sIae9S https://ift.tt/3sIae9S
Show HN: Requestbin, a simple CLI-HTTP-server for inspecting received requests https://ift.tt/38pNnbN March 3, 2021 at 05:03PM
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(https://ift.tt/3q8TV4sWednesday, March 3, 2021
Show HN: Quotedark.com – Stream over 500k quotes in an intuitive Quote-Engine https://ift.tt/307e9RrTHE RIGHT PEOPLE https://ift.tt/2OiBQnnTHE RIGHT PEOPLE https://ift.tt/3rdFU6W https://ift.tt/3rdFU6WTHE RIGHT PEOPLE https://ift.tt/3e3pom2THE RIGHT PEOPLE https://ift.tt/386lPYG https://ift.tt/386lPYG
Show HN: Quotedark.com – Stream over 500k quotes in an intuitive Quote-Engine https://quotedark.com March 2, 2021 at 10:04PM
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(https://ift.tt/3uSnB9qShow HN: PyPSI – Python Implementation of Google PageSpeed Insights https://ift.tt/3uXjSaXTHE RIGHT PEOPLE https://ift.tt/3kFYJgnTHE RIGHT PEOPLE https://ift.tt/2MHBYMJ https://ift.tt/2MHBYMJTHE RIGHT PEOPLE https://ift.tt/3b9hWEgTHE RIGHT PEOPLE https://ift.tt/3rhKFMI https://ift.tt/3rhKFMI
Show HN: PyPSI – Python Implementation of Google PageSpeed Insights https://ift.tt/309gHyp March 2, 2021 at 09:46PM
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(https://ift.tt/3kHP5u0Show HN: Quotedark.com – Stream over 500k quotes in an intuitive Quote-Engine https://ift.tt/307e9RrTHE RIGHT PEOPLE https://ift.tt/2OiBQnnTHE RIGHT PEOPLE https://ift.tt/3rdFU6W https://ift.tt/3rdFU6W
Show HN: Quotedark.com – Stream over 500k quotes in an intuitive Quote-Engine https://quotedark.com March 2, 2021 at 10:04PM
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(https://ift.tt/2O0Onf8Show HN: NNext.net – A Firebase-like managed vector storage for ML applications https://ift.tt/2NYUXmzTHE RIGHT PEOPLE https://ift.tt/3sIl6onTHE RIGHT PEOPLE https://ift.tt/2Of3HVm https://ift.tt/2Of3HVmTHE RIGHT PEOPLE https://ift.tt/3sJovmLTHE RIGHT PEOPLE https://ift.tt/3kD07R8 https://ift.tt/3kD07R8
Show HN: NNext.net – A Firebase-like managed vector storage for ML applications Hi HN. Peter here. As a machine learning engineer, I mostly think in terms of feature vectors, embeddings, and matrices. One of the most useful byproducts of deep neural networks is embeddings because they allow us to represent high-dimensional data in terms of lower-dimensional latent vectors. These feature vectors can be used for downstream applications like similarly search, recommendation systems and near duplicate detection. As an ML engineer, I was frustrated by the lack of a datastore in which vectors are first-class citizens. As a result, most ML engineers, including myself, end up using awkward workarounds to store vectors such as arrays in SQL/NoSQL databases, stringifying vectors and storing them as text in in-memory-based caching systems such as Redis ETC. Furthermore, these systems don’t allow for vector-based query operations such as nearest neighbor search. Consequently, engineers have to deploy additional approximate nearest neighbor search systems such as Facebook’s FAISS or Spotify’s ANNOY. These systems, while nifty and fast, are difficult to install and are costly to maintain. To address these issues, I built NNext, a managed vector datastore in which vectors are first class citizens. NNext, allows you to store vectors along with any json-blob metadata. Furthermore, NNext comes with a fast approximate nearest-neighbor (ANN) search capability. I would love to get feedback on your experience as Data Scientist or ML engineer storing feature vectors and ANN systems. Please shoot me an email at p@nnext.net. https://nnext.net March 2, 2021 at 08:44PM
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(https://ift.tt/3sLzGM0Show HN: PyPSI – Python Implementation of Google PageSpeed Insights https://ift.tt/3uXjSaXTHE RIGHT PEOPLE https://ift.tt/3kFYJgnTHE RIGHT PEOPLE https://ift.tt/2MHBYMJ https://ift.tt/2MHBYMJ
Show HN: PyPSI – Python Implementation of Google PageSpeed Insights https://ift.tt/309gHyp March 2, 2021 at 09:46PM
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