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Maschinelles Lernen · GitHub

Finde Frameworks zum Trainieren, Bewerten und Ausführen von Modellen und vergleiche das Community-Interesse.

Nützliche GitHub-Projekte

7,415 Projekte

RUL

XiuzeZhou

522Sterne

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

CTAI

xming521

674Sterne

基于深度学习的肿瘤辅助诊断系统,以图像分割为核心,利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设、工业级部署和前端访问功能。TensorRT、PyTorch 、OpenCV 、Flask、Vue

D3Feat

XuyangBai

276Sterne
D3Feat preview

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

775Sterne

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

  • Converting a pytorch model to caffe model.
  • Some convenient tools of manipulate caffemodel and prototxt quickly(like get or set weights of layers).

Diffusion-TS

Y-debug-sys

506Sterne

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

Maschinelles LernenJupyter NotebookMITGitHub

tab-ddpm

yandex-research

568Sterne

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"