v2rayN是一个PC富强客户端，一键安装部署！

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Blue topaz themes example vault for Obsidian

必应壁纸api,提供全量的必应壁纸接口数据。

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

LeetCode题解，151道题完整版。

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A basic and simple training framework for pytorch. Easy to expand for multi network interaction.

[CVPR'22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Implementations of recent research prototypes/demonstrations using MONAI.

3d medical image preprocessing, supports conversion between nifiti data and h5py data, dicom2nii, crop 3d patch, extract 3d roi...

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Course notes

Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

Semi-supervised few-shot learning for medical image segmentation

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166