{"library":"alias-free-torch","type":"library","category":null,"description":"Alias-Free Torch is a Python library providing a simple PyTorch module implementation of Alias-Free GAN (Generative Adversarial Networks) concepts. It includes Alias-Free GAN style lowpass sinc filters, up/downsampling, and activation modules. The library aims to reduce aliasing artifacts in generated images, which is crucial for deep learning models like diffusion architectures, by integrating signal processing-based alias-free resampling techniques. The current version is 0.0.6, and the project is actively maintained, though it is described as an unofficial implementation and may not perfectly align with official StyleGAN3 implementations.","language":"python","status":"active","version":"0.0.6","tags":["PyTorch","computer-vision","signal-processing","deep-learning","GAN","aliasing"],"install":[{"cmd":"pip install alias-free-torch","imports":["from alias_free_torch import LowPassFilter1d"]}],"homepage":null,"github":"https://github.com/junjun3518/alias-free-torch","docs":null,"changelog":null,"pypi":"https://pypi.org/project/alias-free-torch/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/alias-free-torch/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}