uni uni-3

## neumf.py
from dataclasses import dataclass

import tensorflow as tf

# https://www.tensorflow.org/tutorials/quickstart/advanced
@dataclass
class NeuMF:
    n_user: int
    n_item: int
    params: dict

## mf_keras.ipynb

      
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                uni-3
                / mf_keras.ipynb
            
            
              Last active
              August 2, 2020 04:55
            
              
                matrix factorization with tensorflow
              
          
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## 3_3_periodic_boundary_conditions.py
import numpy as np

# Periodic boundary conditions 2D
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(a)
# 5: 2, 8, 4, 6
i, j = 1, 1
print(f"{a[i, j]}'s nearest neighbor" )
print(a[i-1, j], a[i+1, j], a[i, j-1], a[i, j+1])

## ising_cnn.ipynb

      
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                uni-3
                / ising_cnn.ipynb
            
            
              Created
              January 19, 2021 14:09
            
              
                ising_cnn.ipynb
              
          
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## main.go
package main

import (
	"fmt"
	"go/types"
	"log"

	"golang.org/x/tools/go/loader"
)
	from dataclasses import dataclass

	import tensorflow as tf

	# https://www.tensorflow.org/tutorials/quickstart/advanced
	@dataclass
	class NeuMF:
	n_user: int
	n_item: int
	params: dict
	import numpy as np

	# Periodic boundary conditions 2D
	a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
	print(a)
	# 5: 2, 8, 4, 6
	i, j = 1, 1
	print(f"{a[i, j]}'s nearest neighbor" )
	print(a[i-1, j], a[i+1, j], a[i, j-1], a[i, j+1])
	package main

	import (
	"fmt"
	"go/types"
	"log"

	"golang.org/x/tools/go/loader"
	)