Open World
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