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微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
《剑指 Offer》《图解算法数据结构》《Krahets 笔面试精选 88 题》Python, Java, C++ 解题代码
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
ZiyuGuo99 / Awesome-MIM-1
Forked from Lupin1998/Awesome-MIMAwesome List of Masked Image Modeling (MIM) Papers for Self-supervised Visual Representation Learning
Writing AI Conference Papers: A Handbook for Beginners
Material workbench for the master-level course CS-E4740 "Federated Learning"
Collection of advice for prospective and current PhD students
A curated list of awesome advice for computer science Ph.D. applicants.
(CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
Awesome anomaly detection in medical images
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis, one of the first "foundation" models in medical image analysis for multiple downstream tasks
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medical images computing field
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining
A Collection of Variational Autoencoders (VAE) in PyTorch.