We introduce LayoutLM, one of the renowned models for extracting information from documents, developed by Microsoft. To tailor a solution for our specific needs, we label our documents using Label Studio, an open-source labeling tool, connected to our remote storage AWS S3.
comprehensive guide on researching ancestors from the regions of Alsace and Lorraine in eastern France, including information about their history, language, culture, and key dates
free and paid courses available for learning about Artificial Intelligence (AI). It mentions courses from NVIDIA, Google Cloud Skills Boost program, Amazon's training center, OpenAI's partner DeepLearning.ai, edX, and Microsoft.
import EasyCrypt
keystring = "SixteenByteKey!!"
inpstring = "Some super secret string, that I don't want you to see."
# This is the initialisation vector/nonce. I generated it with the below code. As you
# will need it to decrypt later on, you might want to store it and not just generate it each time
# I just generated it like this and printed this one out to store it.
#
# import os
# from binascii import hexlify, unhexlify
# ivstring = hexlify(os.urandom(16)).decode()
ivstring = "aba0a3bde34a03487eda3ec96d5736a8"
crypted = EasyCrypt.encrypt_string(keystring, inpstring, ivstring)
print(crypted)
decrypted = EasyCrypt.decrypt_string(keystring, crypted, ivstring)
print(decrypted)
keystring = "SixteenByteKey!!"
inpstring = "Some super secret string, that I don't want you to see."
# This is the initialisation vector/nonce. I generated it with the below code. As you
# will need it to decrypt later on, you might want to store it and not just generate it each time
# I just generated it like this and printed this one out to store it.
#
# import os
# from binascii import hexlify, unhexlify
# ivstring = hexlify(os.urandom(16)).decode()
ivstring = "aba0a3bde34a03487eda3ec96d5736a8"
crypted = EasyCrypt.encrypt_string(keystring, inpstring, ivstring)
print(crypted)
decrypted = EasyCrypt.decrypt_string(keystring, crypted, ivstring)
print(decrypted)
CircuitPython 8.0.0 introduces support for environment variables. Environment variables are commonly used to store “secrets” such as Wi-Fi passwords and API keys. This method does not make them secure. It only separates them from the code.
CircuitPython uses a file called settings.toml at the drive root (no folder) as the environment. User code can access the values from the file using os.getenv(). It is recommended to save any values used repeatedly in a variable because os.getenv() will parse the settings.toml file contents on every access.
CircuitPython uses a file called settings.toml at the drive root (no folder) as the environment. User code can access the values from the file using os.getenv(). It is recommended to save any values used repeatedly in a variable because os.getenv() will parse the settings.toml file contents on every access.
Learn about the new Amazon time series model, which you can use to forecast energy usage, traffic congestion, and weather.
