WanJieShiMeng's Stars
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
mli/paper-reading
深度学习经典、新论文逐段精读
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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.
Janspiry/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
openai/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
guanyingc/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
ChaofWang/Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
wangxinleo/wechat-public-account-push
✨微信公众号推送-给女朋友的浪漫
SupeRuier/awesome-active-learning
Everything you need about Active Learning (AL).
caiyuanhao1998/MST
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
lixinustc/Awesome-diffusion-model-for-image-processing
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
bahjat-kawar/ddrm
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
Zj-BinXia/DiffIR
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
coder-duibai/Contrastive-Learning-Papers-Codes
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.
liuzhijie443/ZhiMiao_JiuJia
知苗易约九价抢购
murufeng/FUIR
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
ki-ljl/LSTM-Load-Forecasting
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
LeiaLi/SRDiff
coderpiaobozhe/classifier-free-diffusion-guidance-Pytorch
a simple unofficial implementation of classifier-free diffusion guidance
note286/xdulogo
西安电子科技大学校徽
xiachangxue/DeepHyperX
J-FHu/Fusformer
Code for the paper: "Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution"
chenning0115/spectral_diff_temp
spectral diffusion model temp
flyzzie/TGRS-GSC-VIT