Dien Hoa TRUONG dienhoa

## cryceleb.ipynb

      
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                / cryceleb.ipynb
            
            
              Created
              May 7, 2023 21:19
            
          
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## tst_attention.py
class OurTST(Module):
    def __init__(self, c_in, c_out, d_model, seq_len, n_layers, drop_out, fc_dropout):
        self.c_in, self.c_out, self.seq_len = c_in, c_out, seq_len
        self.W_P = nn.Linear(c_in, d_model)

        # Positional encoding
        W_pos = torch.empty((seq_len, d_model), device=default_device())
        nn.init.uniform_(W_pos, -0.02, 0.02)
        self.W_pos = nn.Parameter(W_pos, requires_grad=True)

## regression.ipynb

      
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                dienhoa
                / regression.ipynb
            
            
              Last active
              April 27, 2023 20:09
            
              
                transformer for TimeSeries regression 
              
          
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## SSD.ipynb

      
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              9 stars
            
          
                dienhoa
                / SSD.ipynb
            
            
              Created
              August 21, 2022 08:27
            
              
                SSD Implementation using fastai
              
          
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## depth_imgs-one.ipynb

      
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                / depth_imgs-one.ipynb
            
            
              Last active
              April 28, 2022 13:44
            
          
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## docment-notes.md

      
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                dienhoa
                / docment-notes.md
            
            
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              February 19, 2022 05:20
            
              
                It's my note about useful commands I use during the docment sprint https://github.com/muellerzr/fastai-docment-sprint 
              
          
    Run 3 commands below when you prepare your PR
nbdev_build_lib 

nbdev_build_docs —fname {path the to file}

nbdev_clean_nbs


## iterative-imputer-fastai.ipynb

      
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                dienhoa
                / iterative-imputer-fastai.ipynb
            
            
              Created
              February 4, 2022 21:32
            
          
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## fraud.ipynb

      
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                / fraud.ipynb
            
            
              Created
              January 1, 2022 23:35
            
          
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## pytorch2fastai.ipynb

      
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                dienhoa
                / pytorch2fastai.ipynb
            
            
              Last active
              October 15, 2021 20:41
            
              
                How to take advantage of fastai with your pytorch training pipeline
              
          
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## i3-config
# This file has been auto-generated by i3-config-wizard(1).
# It will not be overwritten, so edit it as you like.
#
# Should you change your keyboard layout some time, delete
# this file and re-run i3-config-wizard(1).
#

# i3 config file (v4)
#
# Please see https://i3wm.org/docs/userguide.html for a complete reference!
	class OurTST(Module):
	def __init__(self, c_in, c_out, d_model, seq_len, n_layers, drop_out, fc_dropout):
	self.c_in, self.c_out, self.seq_len = c_in, c_out, seq_len
	self.W_P = nn.Linear(c_in, d_model)

	# Positional encoding
	W_pos = torch.empty((seq_len, d_model), device=default_device())
	nn.init.uniform_(W_pos, -0.02, 0.02)
	self.W_pos = nn.Parameter(W_pos, requires_grad=True)
	# This file has been auto-generated by i3-config-wizard(1).
	# It will not be overwritten, so edit it as you like.
	#
	# Should you change your keyboard layout some time, delete
	# this file and re-run i3-config-wizard(1).
	#

	# i3 config file (v4)
	#
	# Please see https://i3wm.org/docs/userguide.html for a complete reference!