Calflops computes floating-point operations, multiply-add operations, and parameter counts for PyTorch neural network models. It supports CNNs, RNNs, GCNs, transformers, and custom layers via torch.nn.function. It also provides a HuggingFace Space interface and a HuggingFace integration for directly analyzing models by name without downloading weights.