[ICCV2025]LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models

Expressive Anechoic Recordings of Speech (EARS)

Official Pytorch Implementation for "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion" (AAAI 2024)

Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch

Web Services for Machine Learning in C++

Audio Source Separation using the Non Negative Matrix Multiplication

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

Checkout bot capable of monitoring site and sending a text message via twilio when the desired item is found

📚 Freely available programming books