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Thanks for wonderful work. However, i would like to train this facemesh model with our own dataset which has 98 keypoints.
Could you please help me how we can start?
What type of loss function we sh…
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## Environment
- ShellyForHASS release with the issue: 1.0.0.beta.2
- Last working ShellyForHASS release (if known): ?
- Home Assistant Core release with the issue: 2022.5.5
- Operating envi…
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I'm running the unsupervised alignment network on two sets of pre-trained embedding Arabic language “wiki.ar.vec” and Egyptian language ”wiki.arz.vec" embeddings as follows:
python unsupervised.py -…
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We have two desiderata:
1. We want to be able to learn a network which regresses to measurements given a structure as input.
2. We may want to pretrain parts of that network (i.e. the molecular re…
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Dear officer,
Thanks for sharing a great job.I am running the code with the experiments DARPA SubT Challenge Urban Circuit in the paper _Self-supervised Learning of LiDAR Odometry for Robotic Appli…
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When training aggregator with following setup:
{code:python}
import h2o
from h2o.estimators import H2OAggregatorEstimator
df = h2o.create_frame(
rows=20,
cols=10,
categorical_…
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Thanks for the code !!!
Could you also release the pretrained model for the VIP dataset? That would be very helpful!
sicxu updated
2 years ago
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this model is giving me arror when I update the embedding dimension to 512 and MLP dimension to 512. can you please look into this
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댓글에 **MAE 파라미터 계산기**와, **발표자료**가 있습니다.
본 논문에서느 MAE(Masked AutoEncoder)를 사용한 Scalable Self-Supervised Learning을 제안합니다.
**Contribution**
1. Asymmetric Encoder-Decoder Architecture
(Encoder에서는 Ma…
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do you have xgboost classifier in
https://github.com/eriklindernoren/ML-From-Scratch/blob/master/mlfromscratch/supervised_learning/xgboost.py
but not regression?