Examples¶

Sparse models (Linear regression, Gradient, FFT)¶

../_images/sphx_glr_plot_raccoon_deconv_thumb.png

Raccoon deconvolution¶

../_images/sphx_glr_plot_sparse_gradient_thumb.png

Sparse gradient¶

../_images/sphx_glr_plot_sparse_fft_thumb.png

../_images/sphx_glr_plot_raccoon_denoise_thumb.png

Raccoon denoising¶

Generalized Linear Models (GLMs)¶

../_images/sphx_glr_plot_cs_universality_thumb.png

Universality (noiseless CS)¶

../_images/sphx_glr_plot_perceptron_thumb.png

../_images/sphx_glr_plot_cs_thumb.png

Compressed Sensing¶

../_images/sphx_glr_plot_complex_pr_thumb.png

Complex phase retrieval¶

Inpainting with VAE prior¶

../_images/sphx_glr_plot_vae_thumb.png

Inpainting with VAE prior¶

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