ali risheh aicam

## HttpProxy.go
package main

import (
	"flag"
	"io"
	"log"
	"net"
	"net/http"
	"strings"
)

## rsa_util.go
package ciphers

import (
	"crypto/rand"
	"crypto/rsa"
	"crypto/sha512"
	"crypto/x509"
	"encoding/pem"
  "log"
)

## golang-jwt-example.go
package cryptoUtils

import (
	"github.com/dgrijalva/jwt-go"
	"time"
)

type Credentials struct {
	Password string `json:"password"`
	Username string `json:"username"`

## autoencoder.py
from sklearn.metrics import confusion_matrix,classification_report
import keras.backend as K
from keras.engine.topology import Layer, InputSpec
from keras.layers import Dense, Input
from keras.models import Model
from keras.optimizers import SGD
from keras import callbacks
from keras.initializers import VarianceScaling
from sklearn.cluster import KMeans

## convolutions.py
import cv2
import numpy as np
img = cv2.imread('images/input.jpg')
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

rows,cols = img.shape[:2]


cv2.imshow('Original',img)

## diversity_MSE.ipynb

      
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                aicam
                / diversity_MSE.ipynb
            
            
              Created
              January 4, 2021 09:40
            
          
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## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## gist:860d3b7d561230dd30688abadd935471
#######################################
# HOW TO COMPILE TRINITYCORE ON LINUX #
#######################################

#####################
# TRINITYCORELEGACY #
#####################

###########################
# TRINITYCORE SETUP GUIDE #

## cors-bypass-cashing-golang.go
package main

// This file create a new server which you can send requests like http://localhost:4999/https://google.com (url starts after
// port) and it will return the response with all cors headers and save the response in a file, next time if the url file
// exists, the file will be returned and no request will be sent


import (
	"crypto/md5"
	"encoding/hex"
	package main

	import (
	"flag"
	"io"
	"log"
	"net"
	"net/http"
	"strings"
	)
	package ciphers

	import (
	"crypto/rand"
	"crypto/rsa"
	"crypto/sha512"
	"crypto/x509"
	"encoding/pem"
	"log"
	)
	package cryptoUtils

	import (
	"github.com/dgrijalva/jwt-go"
	"time"
	)

	type Credentials struct {
	Password string `json:"password"`
	Username string `json:"username"`
	from sklearn.metrics import confusion_matrix,classification_report
	import keras.backend as K
	from keras.engine.topology import Layer, InputSpec
	from keras.layers import Dense, Input
	from keras.models import Model
	from keras.optimizers import SGD
	from keras import callbacks
	from keras.initializers import VarianceScaling
	from sklearn.cluster import KMeans
	import cv2
	import numpy as np
	img = cv2.imread('images/input.jpg')
	gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

	rows,cols = img.shape[:2]



	cv2.imshow('Original',img)
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	#######################################
	# HOW TO COMPILE TRINITYCORE ON LINUX #
	#######################################

	#####################
	# TRINITYCORELEGACY #
	#####################

	###########################
	# TRINITYCORE SETUP GUIDE #
	package main

	// This file create a new server which you can send requests like http://localhost:4999/https://google.com (url starts after
	// port) and it will return the response with all cors headers and save the response in a file, next time if the url file
	// exists, the file will be returned and no request will be sent


	import (
	"crypto/md5"
	"encoding/hex"