What is Trax?
It helps you understand and explore advanced deep learning. It is actively used and maintained in the Google Brain team. You can use It either as a library from your own python scripts and notebooks or as a binary from the shell, which can be more convenient for training large models. It includes a number of deep learning models (ResNet, Transformer, RNNs, ...) and has bindings to a large number of deep learning datasets, including Tensor2Tensor and TensorFlow datasets. It runs without any changes on CPUs, GPUs and TPUs.
Trax is a tool in the Machine Learning Tools category of a tech stack.
Trax is an open source tool with 4.4K GitHub stars and 323 GitHub forks. Here’s a link to Trax's open source repository on GitHub
Who uses Trax?
Why developers like Trax?
Here’s a list of reasons why companies and developers use Trax
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- Advanced deep learning
- Actively used and maintained in the Google Brain team
- Runs without any changes on CPUs, GPUs and TPUs
Trax Alternatives & Comparisons
What are some alternatives to Trax?
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