kekeyingBIT

kekeyingBIT's Stars

• SakanaAI/AI-Scientist

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

  Language:Jupyter Notebook7.7k1k

• liqiao19/MD-AirComp

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

  Language:Python8

• josemateosramos/SSLISAC

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

  Language:Python135

• nzilberstein/Repulsive-score-distillation-RSD-

  Language:HTML5

• renew-wireless/RENEWLab

  Language:Python3816

• NVlabs/LSGM

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

  Language:Python34749

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  2.7k237

• openai/guided-diffusion

  Language:Python6.1k810

• j991222/MIMO_JCESD

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

  Language:Python356

• sunyi0101/JCDDNet

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

  Language:MATLAB91

• gnobitab/RectifiedFlow

  Official Implementation of Rectified Flow (ICLR2023 Spotlight)

  Language:Python84852

• gnobitab/InstaFlow

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

  Language:Python1.1k36

• luosiallen/latent-consistency-model

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

  Language:Python4.3k224

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.6k1.5k

• kit-cel/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.

  Language:Python254

• Ending2015a/toy_gradlogp

  Some toy examples of score matching algorithms written in PyTorch

  Language:Python455

• deepinv/deepinv

  PyTorch library for solving imaging inverse problems using deep learning

  Language:Python28865

• DPS2022/diffusion-posterior-sampling

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

  Language:Python41346

• zhuwenxing/daily_arxiv

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

  Language:Python19445

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k411

• LuChengTHU/dpm-solver

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

  Language:Python1.5k120

• ermongroup/CSDI

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

  Language:Jupyter Notebook28484

• malbergo/stochastic-interpolants

  Language:Jupyter Notebook9411

• EngProjects/mMTC

  Language:TeX163

• caohaiwen/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."

  Language:MATLAB71

• khachoang1412/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

  Language:MATLAB103

• wc253/JSAC2020_Prior-Information-Aided-Deep-Learning-Method-for-Grant-Free-NOMA-in-mMTC

  Language:Python31

• ShlezingerLab/MBDL_Book

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

  Language:Jupyter Notebook115

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  2.9k247

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.8k934