A cloud-native vector database, storage for next generation AI applications
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Updated
May 31, 2023 - Go
A cloud-native vector database, storage for next generation AI applications
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
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and con…
Simple gRPC server for vector searching implemented by Python and Faiss
The ultimate brain of Shotit, in charge of task coordination.
In this Repository, we intend to implement the DQN and also the DDQN algorithm in case of training an agent to solve the Lunar-Lander problem. there are lots of exciting results after training which have been attached.
This repository contains materials and course projects during attending the Intelligent Systems Course, for more detailed information please have a look at my Final_Report files which have been separately uploaded for each of the projects and consist of all required information about the implementations, analyses, and anything else you may conce…
Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.
Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.
Media broker for serving video preview for shotit
Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.
Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
The frontend of shotit, with full documentation.
Four core workers of shotit: watcher, hasher, loader and searcher.
The front page to shotit.github.io
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