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We are very interested in a robust large-scale benchmark of the ML landscape, especially with regard to hardware, costs and implementation quality.
__Short description:__ compare a neural network a…
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## Project Request
The objective of this project is to develop a spam alert system application that can detect and filter spam in calls, emails, and SMS using AI, machine learning, and deep learn…
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hello, your code in Class da_rnn __init()__, the code of getting data is below, why do you use companies' stock price to predict NASDAQ-100 Index?
especially **ticker='NDX'** in function‘s brackets a…
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hi @rouge012,
the co-occurrence matrix $A\in R^{N_v \times N_o} $ is a two dimension matrix, where $N_v$ indicates the length of verb categories and $N_o$ indicate the length of object catego…
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Hi @AlexeyAB,
First of all thank you so much for sharing this project and your patience for answering all questions!
I am a senior student, and I am using tiny-yolo in raspberry-pi 2.
The model …
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Sorry, I have two new problems through learning your program.
1. How do you define offline and online.
2. Why does (offline training online -------- training training -------- converting data) nee…
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### Description of the model to be implemented
If I have 6 layers stacked of a model (think transformer style), I would like to have their setup be batched by Flax linen. So for example in `setup` …
srush updated
6 months ago
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Great lib !
Greater with a possibility to input a custom validation set. In my case, I have correlation between the train points so I cannot use a cross val, neither a split val with or without shuff…
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Very impressed with this work. The grasp algorithm performs excellent considering the fact it is single threaded and is written in Python. Learned about anpcp two days ago and obj_func_module.py with…
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What is wrong with my code?
I am using smooth windowing for autoencoder
test_img = cv2.imread("a.jpg")
test_img = cv2.resize(test_img, (768, 1024))
test_img = np.array(test_img)
test_img = t…