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First: Kudos to all the HDBSCAN devs for an utterly gorgeous and extremely powerful library.
## TL;DR
`HDBSCAN` runs successfully on sparse and dense matrix input, but fails with sparse input wher…
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**### Title: Issue with Stock Price Prediction Model**
**Description:**
I am encountering issues with the stock price prediction model implemented in the Jupyter Notebook. The model aims to pred…
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I have a CNN model. I used the hls4ml and all file and bitfile generated completely. Now I used the deployment code to implement on FPGA(ZCU104), the prediction output of FPGA is always Zero.
**Tot…
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Hi, I have networks consisting of LSTM, Convolutional and Dense layers, and some BatchNormalization and Concatenate layers. There is also a lambda layer which performs a very simple function - picking…
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The paper provides results only in segmentation domains. As it is model targeting dense prediction task, it would be interesting to see its transfer performance on other dense prediction tasks, such a…
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When I run:
from deep_emotion_recognition import DeepEmotionRecognizer
deeprec = DeepEmotionRecognizer(emotions=['angry', 'sad', 'neutral', 'ps', 'happy'], n_rnn_layers=2, n_dense_layers=2, rnn_unit…
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Hi, i was trying to implement the update method for laplaceredux but I am having a problem.
this is the model
```
MLJBase.@mlj_model mutable struct LaplaceRegressor 0)
batch_size::Intege…
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# Summary
CLIP (CLIP ViT)은 zero-shot image classification을 매우 잘하지만, 이를 dense prediction task에 이용하기는 어려웠음. image-level representation을 이용해서 align을 수행하기 때문에, text가 region 단위로 매치되지 않았기 때문. 근래에는 regi…
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Katy provides her meeting notes from a meeting with Ajay
# US#1 CTann
Trusted repository, # tissue samples.
Which of these rows are more accurate
Make conservative predictions
How far is real…
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I use a simple NN model and gradient_descent_mse_ensemble to train the kernel as follows:
init_fn, apply_fn, kernel_fn = stax.serial(
stax.Dense(512), stax.Relu(),
stax.Dense(512), stax.Relu…