kekeyingBIT

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

AI-Scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

guided-diffusion

consistency_models

Official repo for consistency models.

latent-consistency-model

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

so-large-lm

大模型基础: 一文了解大模型基础知识

dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

InstaFlow

:zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)

RectifiedFlow

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

diffusion-posterior-sampling

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

LSGM

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

deepinv

PyTorch library for solving imaging inverse problems using deep learning

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

stochastic-interpolants

toy_gradlogp

Some toy examples of score matching algorithms written in PyTorch

RENEWLab

MIMO_JCESD

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems

vae-equalizer

This repo provides an implementation of a Variational Autoencoder (VAE) based equalizer. This includes a simulation environment with an AWGN channel and a linear optical dual-polaization channel. Additionally, state-of-the-art equalizers are implemented as reference.

mMTC

SSLISAC

Semi-Supervised End-to-End Learning for Integrated Sensing and Communications

MBDL_Book

Source code for our recent book entitled Model-Based Deep Learning

UMA_random_user_activity

Matlab codes for Unsourced Multiple Access With Random User Activity by K.-H. Ngo, A. Lancho, G. Durisi, and A. Graell i Amat

JCDDNet

Source codes for "Trainable Joint Channel Estimation, Detection and Decoding for MIMO URLLC Systems"

MD-AirComp

Code for “Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning”

CRC-aided_SPARCs_for_URA

This repository contains source codes for simulation results shown in one published paper titled "CRC-aided Sparse Regression Codes for Unsourced Random Access."

Repulsive-score-distillation-RSD-

JSAC2020_Prior-Information-Aided-Deep-Learning-Method-for-Grant-Free-NOMA-in-mMTC