{"library":"torch-fidelity","type":"library","category":null,"description":"Torch-fidelity is a PyTorch library offering precise, efficient, and extensible implementations of popular generative model evaluation metrics, including Inception Score (ISC), Fréchet Inception Distance (FID), Kernel Inception Distance (KID), Perceptual Path Length (PPL), and Precision and Recall (PRC). It aims for epsilon-exact numerical fidelity with reference TensorFlow implementations. The library is actively maintained, with its latest version being 0.4.0, and has a steady release cadence with significant updates, like new metrics and feature extractors.","language":"python","status":"active","version":"0.4.0","tags":["generative models","metrics","FID","ISC","KID","PPL","PRC","PyTorch","GANs","diffusion models","evaluation","reproducibility"],"last_verified":"Sat May 23","install":[{"cmd":"pip install torch-fidelity","imports":["import torch_fidelity","from torch_fidelity import calculate_metrics","from torch_fidelity.generative_model_module_wrapper import GenerativeModelModuleWrapper"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/torch-fidelity/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":67.9,"avg_import_s":12.39,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torch-fidelity/compatibility"}}