Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Nlp Journey | 1,563 | 5 months ago | 3 | April 29, 2020 | apache-2.0 | Python | ||||
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0. | ||||||||||
Tiefvision | 719 | 7 years ago | 21 | apache-2.0 | Lua | |||||
End-to-end deep learning image-similarity search engine | ||||||||||
Facial Similarity With Siamese Networks In Pytorch | 620 | 4 years ago | 8 | mit | Jupyter Notebook | |||||
Implementing Siamese networks with a contrastive loss for similarity learning | ||||||||||
Svcca | 429 | 4 years ago | 5 | apache-2.0 | Jupyter Notebook | |||||
Graph Matching Networks | 223 | 9 months ago | 1 | other | Python | |||||
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019). | ||||||||||
Lstm Siamese Text Similarity | 201 | 4 years ago | 3 | mit | Python | |||||
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity | ||||||||||
Conditional Similarity Networks | 174 | 4 years ago | 5 | bsd-3-clause | Python | |||||
Genewalk | 122 | 10 months ago | 13 | May 10, 2021 | bsd-2-clause | Python | ||||
GeneWalk identifies relevant gene functions for a biological context using network representation learning | ||||||||||
Gan Image Similarity | 88 | 7 years ago | 2 | gpl-3.0 | Python | |||||
InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity. | ||||||||||
Sg One | 81 | 3 years ago | 4 | Python | ||||||
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation |