Entity Framework
Sequelize
SQLAlchemy
Hibernate
DevExpress XPO
Dapper
Hibernate ORM
MyBATIS
TensorFlow
PyTorch
Scikit-learn
Keras
IBM Watson Studio
H2O.ai
Azure Machine Learning Studio
Azure Machine Learning Service
Entity Framework TensorFlowBased on our record, Entity Framework should be more popular than TensorFlow. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For the simplicity we will use MSSQLProvider to fetch the data from the database. This class has basic functionality, if you want to create complex database queries, for example JOIN, you'd better use something like Entity Framework. - Source: dev.to / about 1 year ago
I only wanted to give a simple preview of what can be done with Entity Framework, but if this is something that interests you and you want to go further in-depth with all the possibilities, I recommend checking out the official docs where you can also find a great tutorial which will guide you through building your very own .NET Core web application. - Source: dev.to / almost 2 years ago
Entity Framework documentation hub - Entity Framework is a modern object-relation mapper that lets you build a clean, portable, and high-level data access layer with .NET (C#) across a variety of databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. It supports LINQ queries, change tracking, updates, and schema migrations. Source: almost 2 years ago
You can create the DAL using your existing code or start using a Object Relational Mapper like Entity Framework which will do a lot of the work for you, check this out here: https://learn.microsoft.com/en-us/ef/ also check out LINQ. Source: about 2 years ago
And, possibly (not strictly speaking necessary but very useful) Entity framework as a backend part of it. Source: about 2 years ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
SQLAlchemy - SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Hibernate - Hibernate an open source Java persistence framework project.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
