Open World

Tiu MoLess than 1 minute

可以试试

https://github.com/facebookresearch/TimeSformer https://github.com/lyndonzheng/CVQ-VAE (聚类VQ-VAE) https://github.com/CompVis/vunet https://github.com/SimonKohl/probabilistic_unet https://github.com/bayesiains/nflows (正则化流) https://github.com/janosh/awesome-normalizing-flows (正则化流) https://github.com/gudovskiy/cflow-ad/tree/master

https://github.com/Fanghua-Yu/SUPIR/tree/master (盲超分) https://github.com/lixinustc/Awesome-diffusion-model-for-image-processing

https://github.com/LTH14/mage (This is a PyTorch/GPU re-implementation of the paper MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis (to appear in CVPR 2023))

大模型

大模型价值对齐： https://cloud.tencent.com/developer/article/2316612 https://www.jiqizhixin.com/articles/2023-11-01-4

https://github.com/InternLM/InternLM/blob/main/README_zh-CN.md https://huggingface.co/spaces/LanguageBind/Video-LLaVA https://github.com/PKU-YuanGroup/Video-LLaVA

自动驾驶

https://github.com/daniel-bogdoll/phd https://www.nvidia.com/en-us/self-driving-cars/drive-videos/ https://ieeexplore.ieee.org/document/9914092 http://www.evinchina.com/articleshow-479.html

时序定位

https://funian788.github.io/post/spatio-temporal-action-localization/

PointTAD: https://zhuanlan.zhihu.com/p/595372309 https://github.com/MCG-NJU/PointTAD

数据集

ROD - Nullmax Rare Object Dataset https://nullmax-vision.github.io/

事件引导的低光照图像增强: https://vlislab22.github.io/eg-lowlight/ 水下图像增强: https://github.com/yzbouc/UVEB

时序MAE

https://github.com/facebookresearch/mae_st/tree/main

感兴趣的

https://github.com/NVlabs/RADIO

量子力学

Quantum AutoEncoder demo:
https://vqnet20-tutorial.readthedocs.io/en/latest/rst/qml_demo.html

课程: https://learn.originqc.com.cn/zh/course

可用框架(教程): https://pennylane.ai/ https://pyqpanda-toturial.readthedocs.io/zh/latest/ https://vqnet20-tutorial.readthedocs.io/en/latest/index.html https://github.com/OriginQ/QPanda-2 https://github.com/mindspore-ai/mindquantum

图像分类: https://github.com/christorange/QC-CNN https://github.com/takh04/QCNN/tree/main

相关论文(nature): Hierarchical quantum classifiers https://www.nature.com/articles/s41534-018-0116-9