What is Rubbrband?
It helps developers easily train open source machine learning models by resolving dependencies and provisioning servers. It automatically sets up environments with the correct CUDA, Python, and C dependencies, for each of your projects.
Rubbrband is a tool in the Development & Training Tools category of a tech stack.
Key Features
ML training in 1 line of codeEnvironments for MLTrain the latest open-source models
Rubbrband Pros & Cons
Pros of Rubbrband
No pros listed yet.
Cons of Rubbrband
No cons listed yet.
Rubbrband Alternatives & Comparisons
What are some alternatives to Rubbrband?
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.
