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awesome-metric-learning

😎 A curated list of awesome practical Metric Learning and its applications
https://github.com/qdrant/awesome-metric-learning

Last synced: about 8 hours ago
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Applications 🎮
- demo
- demo
- demo
- Large Dual Encoders Are Generalizable Retrievers
- this post
- Learning Deep Semantic Model for Code Search using CodeSearchNet Corpus
- paper
- Item2Vec: Neural Item Embedding for Collaborative Filtering
- demo
- this post
- this post
- this post
- this post
- this post
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- this post
Surveys 📖
- supervised - learn.org/metric-learn/weakly_supervised.html) and [unsupervised](http://contrib.scikit-learn.org/metric-learn/unsupervised.html) metric learning algorithms in [`metric_learn`](http://contrib.scikit-learn.org/metric-learn/metric_learn.html) package.
Tools ⚒️
- - paper
- Approximate Nearest Neighbors ⚡
Papers 🔬
- Approximate Nearest Neighbors ⚡
  - this great post
Datasets ℹ️
- Approximate Nearest Neighbors ⚡
  - "The 2021 Image Similarity Dataset and Challenge"
  - "Deep Metric Learning via Lifted Structured Feature Embedding"
Libraries 🧰
- Transformers - based models to obtain sequence-level embeddings.

Programming Languages

MATLAB 1 Python 1

Categories

Applications 🎮 64 Tools ⚒️ 42 Datasets ℹ️ 2 Papers 🔬 1 Libraries 🧰 1 Surveys 📖 1

Sub Categories

Approximate Nearest Neighbors ⚡ 44

Keywords

transformer 1 tensorflow 1 speech-recognition 1 seq2seq 1 pytorch-transformers 1 pytorch 1 python 1 pretrained-models 1 nlp-library 1 nlp 1 natural-language-processing 1 model-hub 1 machine-learning 1 language-models 1 language-model 1 jax 1 flax 1 deep-learning 1 bert 1