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为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
😘 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
SMSBoom - Deprecate: Due to judicial reasons, the repository has been suspended!
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
The deep residual shrinkage network is a variant of deep residual networks.
Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
北京 青年大学习 使用Github Actions自动完成
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
Accepted by CVPR 2022
A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions
Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications" by Elizabeth K. Cole et. al; Toolbox for co…
Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Python implementations of GRAPPA-like algorithms.
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
An open source implementation of the deep learning platform for undersampled MRI reconstruction described by Hyun et. al. (https://arxiv.org/pdf/1709.02576.pdf)