lydiaji

lydiaji's Stars

• lucidrains/imagen-pytorch

  Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

  Language:Python8.1k116300768

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.9k905611.2k

• shanglianlm0525/PyTorch-Networks

  Pytorch implementation of cnn network

  Language:Python1.9k3520485

• ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL

  无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

  1.9k35023649

• tjiiv-cprg/EPro-PnP

  [CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

  Language:Python1.1k1490107

• jhfmat/ISP-pipeline-hdrplus

  Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

  Language:C819815209

• ModelTC/MQBench

  Model Quantization Benchmark

  Language:Shell76914199140

• dvlab-research/DeepUPE

  Underexposed Photo Enhancement Using Deep Illumination Estimation

  Language:Python5702481101

• rty813/doc_downloader

  下载豆丁、淘豆、道客巴巴、原创力、金锄头文档，并自动转换为PDF

  Language:Python506732107

• jinyeying/night-enhancement

  [ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

  Language:HTML40952636

• XPixelGroup/ClassSR

  (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

  Language:Python36246142

• yang69/MIMO-OFDM-Wireless-Communications-with-MATLAB

  MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现

  Language:MATLAB343203145

• spatialaudio/signals-and-systems-lecture

  Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

  Language:Jupyter Notebook33020392

• wyf0912/LLFlow

  [AAAI 2022] The code release of paper "AAAI Low-Light Image Enhancement with Normalizing Flow"

  Language:Python29535536

• veripool/verilog-mode

  Verilog-Mode for Emacs with Indentation, Hightlighting and AUTOs. Master repository for pushing to GNU, verilog.com and veripool.org.

  Language:SystemVerilog2623057191

• mlomnitz/DiffJPEG

  Language:Python2413631

• Mehran-Soltani/ChannelNet

  Implementation of the paper "Deep Learning-Based Channel Estimation"

  Language:Python19481076

• lxcnju/histogram_equalization

  Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.

  Language:Python1862037

• cuiziteng/ICCV_MAET

  🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

  Language:Python15513017

• megvii-research/PMN

  [TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

  Language:Python13591917

• tengyu1998/SCI

  [CVPR 2022 Oral] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

  Language:Python12664869

• BIT-DA/I2V-GAN

  ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation"

  Language:Python11021822

• TCL-AILab/Abandon_Bayer-Filter_See_in_the_Dark

  Source code for CVPR2022 paper "Abandoning the Bayer-Filter to See in the Dark"

  Language:Python975812

• cheind/pytorch-debayer

  Convolutional PyTorch debayering / demosaicing layers

  Language:Python813710

• zhaoyuzhi/D2HNet

  D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration. ECCV, 2022

  Language:Python74465

• KwangHoonAn/PACT

  Reproducing Quantization paper PACT

  Language:Python561513

• sloth2012/AlexNet

  AlexNet pytorch

  Language:Jupyter Notebook513218

• jojo23333/STPAN

  Language:Python16433

• BJTU-MIMO/Channel_estimation_MRDN

  Simulation code for "Multiple Residual Dense Networks for Reconfigurable Intelligent Surfaces Cascaded Channel Estimation" by Y. Jin, J. Zhang, C. Huang, L. Yang, H. Xiao, B. Ai and Z. Wang, IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2134-2139, Feb. 2022,

  Language:Python15114

• 1397981186/CSMA-CD-Protocol-Simulator

  CSMA-CD-Protocol-Simulator CSMA模拟

  Language:Python4200