C++ locality-sensitive-hashing Projects
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to diskProject mention: Can anyone help me refine my model (music based CNN - artist recognition)? | reddit.com/r/learnmachinelearning | 2022-06-09
Add your examples to the index and build the trees in annoy. I feel like its straight forward. There you have to provide the dimension of the features which is the feature vector you get. In my case I am reusing (without fine-tuning) the effecientNetB3 without the last layer. Hence it results in feature vectors with 1536 dimensions. https://github.com/spotify/annoy
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