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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
deep learning for image processing including classification and object-detection etc.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
A computer algebra system written in pure Python
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Example models using DeepSpeed
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
MetaSeg: Packaged version of the Segment Anything repository
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)
A high-level toolbox for using complex valued neural networks in PyTorch
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Differentiable optical lens simulator for end-to-end cameras.
"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
IQA: Deep Image Structure and Texture Similarity Metric
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
Image reconstruction done with untrained neural networks.
Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image rest…