TileDB-Vector-Search
tiny-dream
| TileDB-Vector-Search | tiny-dream | |
|---|---|---|
| 3 | 6 | |
| 46 | 240 | |
| - | - | |
| 9.6 | 7.1 | |
| 3 days ago | 7 months ago | |
| Jupyter Notebook | C | |
| MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TileDB-Vector-Search
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Ask HN: Who is hiring? (September 2023)
- vector search, utilizing TileDB and TileDB Cloud for seamless scaling: https://tiledb.com/blog/why-tiledb-as-a-vector-database (library: https://github.com/TileDB-Inc/TileDB-Vector-Search)
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Why TileDB as a Vector Database
Stavros from TileDB here (Founder and CEO). I thought of requesting some feedback from the community on this blog. It was only natural for a multi-dimensional array database like TileDB to offer vector (i.e., 1D array) search capabilities. But the team managed to do it very well and the results surprised us. We are just getting started in this domain and a lot of new algorithms and features are coming up, but the sooner we get feedback the better.
TileDB-Vector-Search Github repo: https://github.com/TileDB-Inc/TileDB-Vector-Search
TileDB-Embedded (core array engine) Github repo: https://github.com/TileDB-Inc/TileDB
TileDB 101: Vector Search (blog to get kickstarted): https://tiledb.com/blog/tiledb-101-vector-search/
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Ask HN: Who is hiring? (August 2023)
New Vector search library: https://github.com/TileDB-Inc/TileDB-Vector-Search
Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely for anyone with legal residence in the US or Greece. We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. We have just launched a new vector search library built on top of TileDB and leveraging
We are actively seeking:
tiny-dream
- Tiny Dream – An Embedded, Header Only, Stable Diffusion C++ Implementation
- Tiny Dream - Header-Only, Embedded Stable Diffusion Inference Library in C++
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Ask HN: Who is hiring? (September 2023)
PixLab (https://pixlab.io) & FACEIO (https://faceio.net) | Full-or-part-time | Remote | Computer Vision / Full stack Engineers |
PixLab, a leading provider of Machine Vision, Face Recognition & Media Processing APIs is looking for:
* Embedded C & Computer Vision engineer(s) to work on the SOD (https://sod.pixlab.io), embedded computer vision library.
* Senior Python engineer with proficiency in PyTorch to work on FACEIO (https://faceio.net), our facial authentication web framework for web sites & apps.
* C++ developer with ML expertise to work on the port of Tiny-Dream (https://pixlab.io/tiny-dream), our embedded Stable Diffusion C++ library from ncnn to ggml.
* React/Vue JS Web developer(s) with expertise in fabric.js to work on a brand new, web based photo editing software backed by generative AI.
Reach out to Vincent via contact AT pixlab.io with your resume if interested.
- Tiny Dream – Header Only, Embedded Stable Diffusion C++ Library
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Show HN: Tiny Dream – Header Only, Embedded Stable Diffusion C++ Library
Hi HN,
Tiny-dream is designed to be embedded on larger codebases (host programs) with an easy to use C++ API.
The project github is located at: https://github.com/symisc/tiny-dream
What are some alternatives?
nl-wallet - NL Public Reference Wallet
seed-alchemy - Frontend UI and Backend Server for Stable Diffusion models
mentat - Mentat - The AI Coding Assistant
sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
autodistill - Images to inference with no labeling (use foundation models to train supervised models).
medusa - A Platform.sh template for Medusa
supervision - We write your reusable computer vision tools. 💜
google-search-results-nodejs - SerpApi client library for Node.js. Previously: Google Search Results Node.js.
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
pixlab - PixLab Resources & Code Samples