model-remediation

Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.

codelabs

tensorstore

swift-bindings

tfrc

toolchains

Bazel toolchain configurations used across TensorFlow ecosystem

dtensor-gcp-examples

Using DTensor on Google Cloud

sig-tfjs

.allstar

.github