An AI for Music Generation
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Updated
Jun 7, 2024 - Python
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
An AI for Music Generation
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
Repo for all the SRIP 2024 work at CVIG Lab IITGN under Prof. Shanmuganathan Raman
OPVTON is the GAN model I trained that takes a clothing item, a human and generates an image with the clothing item on the human even when there's occlusion in the torso area
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
Benchmarking synthetic data generation methods.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Synthetic data generation for tabular data
PyTorch implementation (with up-to-date tooling) of the SAM / DAC algorithm
Code for our paper "Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection" and its extension.
Generating tabular datasets under differential privacy
Learn Generative AI with PyTorch (Manning Publications, 2024)
Synthetic data generators for tabular and time-series data
Official implementation of DrugGEN
Detecting and dissecting anomalous anatomic regions in spatial transcriptomics with STANDS
Quantum GAN Model to generate images with limited qubits
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
Released June 10, 2014