Convolutional 2D Knowledge Graph Embeddings resources
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- 455
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- 0
- Created at
- 3 years ago
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Python
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- skip-thoughts
- Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
Recurrent Neural Network that predicts word-by-word
- Total stars
- 474
- Related Repositories
- Link
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
- Total stars
- 2,458
- Language
-
Python
- Related Repositories
- Link
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
- Total stars
- 190
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Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
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- 10,491
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Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
- Total stars
- 406
- Language
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Python
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Code for a 1st place model in Carvana Image Masking Challenge
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Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"
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- 393
- Language
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Python
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A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
- Total stars
- 420
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Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
- Total stars
- 1,983
- Language
-
Python
- Related Repositories
- Link
TimDettmers/ConvE
larspars/word-rnn
layumi/Person_reID_baseline_pytorch
zhangzibin/char-rnn-chinese
karpathy/char-rnn
AMLab-Amsterdam/AttentionDeepMIL
asanakoy/kaggle_carvana_segmentation
hfslyc/AdvSemiSeg
ryankiros/visual-semantic-embedding
SimonKohl/probabilistic_unet