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Maschinelles Lernen · GitHub

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

Nützliche GitHub-Projekte

7,564 Projekte
475Sterne

Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.

ltu

YuanGongND

480Sterne
ltu preview

Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

exposure

yuanming-hu

783Sterne
exposure preview

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

637Sterne

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

daisyRec

yudi-mars

550Sterne

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

33Sterne
catseye preview

Neural network library written in C and Javascript

  • Just include catseye.h and write your model in c. There is nothing to install.
  • Small dependency & simple implementation