A very simple framework for state-of-the-art Natural Language Processing (NLP)
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Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
- metric-learning
- deep-learning
- computer-vision
- machine-learning
Implementation and experiments of graph embedding algorithms.
- deepwalk
- node2vec
- line
- sdne
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
- nlp
- sentence-embeddings
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.