https://github.com/rdspring1/lsh_memory

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
https://github.com/rdspring1/lsh_memory

deep-learning locality-sensitive-hashing memory-networks pytorch zero-shot-learning

Last synced: 5 days ago
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One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

• Host: GitHub
• URL: https://github.com/rdspring1/lsh_memory
• Owner: rdspring1
• License: apache-2.0
• Created: 2017-07-19T00:36:09.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-07-26T15:16:13.000Z (over 7 years ago)
• Last Synced: 2024-10-29T18:42:48.256Z (about 2 months ago)
• Topics: deep-learning, locality-sensitive-hashing, memory-networks, pytorch, zero-shot-learning
• Language: Python
• Size: 40 KB
• Stars: 2
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# LSH_Memory

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

Run data_utils.py to download and pre-process Omniglot dataset

# Implementation

1. [Siamese Neural Networks for One-shot Image Recognition](https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf)

2. [Learning to Remember Rare Events](https://arxiv.org/abs/1703.03129)

# Other References

1. [One-shot Learning with Memory-Augmented Neural Networks](https://arxiv.org/abs/1605.06065.pdf)

2. [Matching Networks for One Shot Learning](https://arxiv.org/abs/1606.04080.pdf)

  * [Andrej Karpathy's Notes - Matching Networks](https://github.com/karpathy/paper-notes/blob/master/matching_networks.md)