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Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
A pytorch implementation of MINE(Mutual Information Neural Estimation)
[MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
IDDM (Industrial, landscape, animate, spectrogram...), support DDPM, DDIM, PLMS, webui and distributed training. Pytorch实现扩散模型,生成模型,分布式训练
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
Conditional Mutual Informaation Neural Estimator
[ICMLW 2023, IEEE CISS 2024] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
PyTorch implementations of Generative Adversarial Networks.
Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
Official implementation of Cold-Diffusion for different transformations in pytorch.
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
❄️ Score-Based Point Cloud Denoising (ICCV 2021)
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
classifier guidance rescale for class-conditional image generation
This code package generates random tensors with user specified marginal means and covariances from one of two optional distributions. The first is the maximum-entropy-distribution with the specifie…
Notebooks using the Hugging Face libraries 🤗
Materials for the Hugging Face Diffusion Models Course
Mutual Information Neural Estimation in Pytorch
Project for the Large Scale Optimization course at Skoltech