nflows is a collection of normalizing flow implementations built on PyTorch. It provides invertible transformations, base distributions, and flow compositions that enable users to define and train normalizing flow models. The library supports computing log probabilities of inputs and sampling from the learned distribution, making it suitable for generative modeling and density estimation tasks.