Python library for solving reinforcement learning (RL) problems using generative models.
-
Updated
May 26, 2024 - Python
Python library for solving reinforcement learning (RL) problems using generative models.
Implementing a Denoising Diffsuion Probabilistic Model (DDPM) on Tensorflow from scratch for Pokémon sprites synthesis
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
PyTorch library for solving imaging inverse problems using deep learning
Lumina-T2X is a unified framework for Text to Any Modality Generation
📦 Python library for Stochastic Processes Simulation and Visualisation
Official implementation of BrLP method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge" from MICCAI 2024
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
This implementation is based on the paper titled "Conditional Text Image Generation with Diffusion Models," which can be found at arXiv:2306.10804v1.
A collection of resources on controllable generation with text-to-image diffusion models.
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
This repository is used to collect papers and code in the field of AI.
🟠 Generate 3D models using Gradio API directly from Blender
OneDiff: An out-of-the-box acceleration library for diffusion models.
collection of diffusion model papers categorized by their subareas
Repo for all the SRIP 2024 work at CVIG Lab IITGN under Prof. Shanmuganathan Raman
SmartDict, an application designed to help foreigners enhance the learning Korean experience through the integration of LLM.
A Collection of AIGC Research Groups
Art & Creativity in JAX 🎨 💗
Add a description, image, and links to the diffusion-models topic page so that developers can more easily learn about it.
To associate your repository with the diffusion-models topic, visit your repo's landing page and select "manage topics."