A cloud-native vector database, storage for next generation AI applications
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Updated
Jul 25, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
cuVS - a library for vector search and clustering on the GPU
Fast and minimal header-only graph-based index for approximate nearest neighbor search (ANNS). https://blaisemuhirwa.github.io/flatnav-experimental
The frontend of shotit, with full documentation.
Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
The ultimate brain of Shotit, in charge of task coordination.
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
AI@UCF's custom-made course, organized by semesters
Data Mining Class @ The Open University
Media broker for serving video preview for shotit
Four core workers of shotit: watcher, hasher, loader and searcher.
The README profile of Shotit.
Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.
Add a description, image, and links to the anns topic page so that developers can more easily learn about it.
To associate your repository with the anns topic, visit your repo's landing page and select "manage topics."