DeepchecksWhat is Deepchecks?
It is a Python package for comprehensively validating your machine learning models and data with minimal effort. This includes checks related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.
Deepchecks is a tool in the Development & Training Tools category of a tech stack.
Key Features
Suites of checksData integrityDistribution checksPerformance checks
Deepchecks Pros & Cons
Pros of Deepchecks
No pros listed yet.
Cons of Deepchecks
No cons listed yet.
Deepchecks Alternatives & Comparisons
What are some alternatives to Deepchecks?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
