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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
DeepFocus: Learned Image Synthesis for Computational Displays
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
Image reconstruction done with untrained neural networks.