The tensorflow-haskell package provides Haskell bindings to TensorFlow, allowing developers to build and train ML models using the TensorFlow ecosystem from Haskell. The library exposes core TensorFlow operations including variables, ops, and minimization routines. It includes examples such as neural network models for the MNIST dataset and linear regression using gradient descent optimization.