Max-Heinrich Laves mlaves

## coremltools_unet3d_crash.ipynb

      
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                mlaves
                / coremltools_unet3d_crash.ipynb
            
            
              Last active
              October 1, 2023 08:14
            
              
                Example of coremltools segfault on larger input sizes.
              
          
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## rug_plot_matplotlib.ipynb

      
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                mlaves
                / rug_plot_matplotlib.ipynb
            
            
              Created
              January 26, 2023 10:29
            
              
                rug_plot_matplotlib.ipynb
              
          
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## kernel-svm.ipynb

      
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                mlaves
                / kernel-svm.ipynb
            
            
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              September 8, 2021 08:25
            
              
                Kernel SVM.ipynb
              
          
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## pytorch_radon.ipynb

      
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                mlaves
                / pytorch_radon.ipynb
            
            
              Created
              July 16, 2021 12:28
            
              
                pytorch_radon.ipynb
              
          
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## incremental_ik-panda.ipynb

      
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                mlaves
                / incremental_ik-panda.ipynb
            
            
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              July 10, 2023 10:38
            
              
                Incremental Inverse Kinematics for Franka Emika Panda 7DoF Robot
              
          
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## client.py
import socket
import numpy as np

HOST = '127.0.0.1'  # The server's hostname or IP address
PORT = 65432        # The port used by the server

data = np.random.rand(1000000)

with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
    print(f"Sent {np.prod(data.shape)} elements.")

## bayesian_optimization_gpytorch.ipynb

      
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                mlaves
                / bayesian_optimization_gpytorch.ipynb
            
            
              Created
              February 6, 2021 09:51
            
              
                bayesian_optimization_gpytorch.ipynb
              
          
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## bayesian_optimization.ipynb

      
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                mlaves
                / bayesian_optimization.ipynb
            
            
              Created
              January 23, 2021 12:50
            
              
                bayesian_optimization.ipynb
              
          
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## two_moons_create_opener.ipynb

      
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                mlaves
                / two_moons_create_opener.ipynb
            
            
              Last active
              November 1, 2020 13:08
            
              
                Unsupervised toy experiment on the "two moons" data set.
              
          
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## linear-regression-metropolis-hastings.ipynb

      
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                mlaves
                / linear-regression-metropolis-hastings.ipynb
            
            
              Last active
              September 17, 2020 14:18
            
              
                Linear Regression Metropolis-Hastings.ipynb
              
          
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	import socket
	import numpy as np

	HOST = '127.0.0.1' # The server's hostname or IP address
	PORT = 65432 # The port used by the server

	data = np.random.rand(1000000)

	with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
	print(f"Sent {np.prod(data.shape)} elements.")