{"library":"julius","type":"library","category":null,"description":"Julius is a Python library providing fast, differentiable Digital Signal Processing (DSP) algorithms implemented with PyTorch, offering CUDA support. It specializes in functionalities like sinc resampling, FFT-based convolutions, and FIR filter banks for audio and 1D signals. The current version is 0.2.7, with releases addressing compatibility and performance improvements.","language":"python","status":"active","version":"0.2.7","tags":["pytorch","dsp","audio","resampling","fft","convolution","cuda","signal-processing"],"last_verified":"Thu May 21","install":[{"cmd":"pip install julius","imports":["import julius","import julius\nsignal = torch.randn(1000)\nresampled_signal = julius.resample_frac(signal, old_sr=44100, new_sr=16000)","from julius.resample import ResampleFrac\nresampler = ResampleFrac(old_sr=44100, new_sr=16000)","import julius\nx = torch.randn(1, 1, 1024)\nw = torch.randn(1, 1, 256)\ny = julius.fftconv.fft_conv1d(x, w)"]}],"homepage":null,"github":"https://github.com/adefossez/julius","docs":null,"changelog":null,"pypi":"https://pypi.org/project/julius/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":65.6,"avg_import_s":5.25,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/julius/compatibility"}}