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Keras's implementation of Convolutional LSTM (https://www.tensorflow.org/api_docs/python/tf/keras/layers/ConvLSTM2D) uses `recurrent_intializer = orthogonal` to avoid exploding gradients.
This impl…
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- [x] Dataset
- [ ] Basic visualization (follow #7 )
- [ ] Literature
- [x] #8
- [x] @Tanvig Add the other paper for which you found code here
- [ ] Implementing the (2+1)D model (used i…
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### Main problem:
The main problem of the paper is the ability to train graph convolutional networks (GCNs) on dynamic graphs, which are graphs that change over time.
### Applications:
The propos…
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Similar to benchmarks created for image classification, we would like to create a benchmark for video datasets.
A few tasks for tackling video datasets:
1. Identify ML training related to video …
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NLP나 이미지 연산중 가장 많이 사용하는 학습 모델 방식이 CNN이잖아요 Convolution의 개념이 NLP에서도 사용될 수 있나요? 사용 될 수 있다면 보통 어떤 형태의 레이어 구성을 갖고 있나요?
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Hello. Thanks for your excellent work.
I wonder whether I can train with only posetrack and 3dpw dataset?
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Dear Siyuan,
In regards to the CAD-120 experimental results, previous works do a 4-fold cross-validation where one of the subjects is left out for testing whilst the other three are used for traini…
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Thanks for the repo. I wonder why you employed 3D deformable convolution along only "HW" dimensions (self.dcn0 = DeformConvPack_d(nf, nf, kernel_size=3, stride=1, padding=1, dimension='HW') in model.p…
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## Willingness to contribute
The MLflow Community encourages new feature contributions. Would you or another member of your organization be willing to contribute an implementation of this feature (ei…