A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)

Advanced Signal Processing Notebooks and Tutorials

GPS altimeter/variometer with LCD display, routes with waypoints, data/gps track logging, bluetooth NMEA sentence transmission, wifi AP + webpage configuration

Official repository of the paper "Solving Audio Inverse Problems with a Diffusion Model", submitted to ICASSP 23

Acoustic impulse response generation using diffusion models