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An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Unsupervised detection of opening / closing credits, recaps, and previews in video files 🎥🍿🎬
Tracktable: moving object trajectory analysis in C++ and Python
This is a Content Based Image Retrieval System(CBIR) where the program takes some input images and extracts the image feature vectors and stores them. When another image is given as a query image to the program it searches for all similar images that are given as input
CRISP is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.
Computer Vision and Deep Learning exercises from Udacity's Computer Vision Nanodegree
In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from these feature vectors.
recommendation engine project
A study on encoding english sentences to tensorflow vectors or tensors using pre-trained BERT model from the Hugging Face Library.
Test fixtures for data science
This program demonstrates how to plot face feature vectors on a 2-D chart using t-SNE method to compress dimension of the vectors
CNN with transfer learning for animal image detection
Program performs text classification using BERT vector with Logistic Regression and Neural Network Models.