PyBrainWhat is PyBrain?
It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms.
PyBrain is a tool in the Development & Training Tools category of a tech stack.
Key Features
Supervised LearningUnsupervised LearningReinforcement LearningBlack-box OptimizationNetwork ArchitecturesToy Environments3D EnvironmentsFunction EnvironmentsPole-Balancing
PyBrain Pros & Cons
Pros of PyBrain
No pros listed yet.
Cons of PyBrain
No cons listed yet.
PyBrain Alternatives & Comparisons
What are some alternatives to PyBrain?
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.
