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Separius / awesome-sentence-embedding

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A curated list of pretrained sentence and word embedding models

nlp awesome links encoder paper natural-language word-embeddings evaluation awesome-list pretrained-models unsupervised-learning embedding-models bert embedded-models cross-lingual wordembedding encoders sentence-embeddings pretrained-embedding sentence-representations contextualized-representation vector-map pooling-methods subword-models vector-mapping
  • Updated Nov 18, 2019
  • Python

marl / openl3

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[DOC] Tutorial could include a classification example

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bmcfee
bmcfee commented Feb 14, 2020

One of the common questions that I get is "how should i build an audio classifier?"

My canned response is "openl3 + sklearn RandomForest". The tutorial in the docs is great for the first half, but if it was expanded to show how to combine it with a classifier on some example dataset (eg urbansed or something), it would be much easier for novices to pick up and run with.

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enhancement

p768lwy3 / torecsys

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ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

python pytorch recommendation-system recommender-system embedding-models click-through-rate
  • Updated Mar 13, 2020
  • Python

karolzak / images-vector-search

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Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training

image deep-neural-networks deep-learning images keras image-processing cnn vgg neural-networks resnet transfer-learning visual-search embedding-models vgg19 keras-tensorflow resnet-50 similarity-search resnet-152 similarity-detection vector-search
  • Updated Nov 7, 2019
  • Python

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