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머신러닝 · GitHub

모델 학습, 평가, 추론 프레임워크를 찾고 커뮤니티의 관심도를 비교하세요.

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CSL

ydli-ai

671스타

[COLING 2022] CSL: A Large-scale Chinese Scientific Literature Dataset 中文科学文献数据集

603스타

The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

머신러닝PythonApache-2.0GitHub

MASR

yeyupiaoling

728스타

Pytorch实现的流式与非流式的自动语音识别框架,同时兼容在线和离线识别,目前支持Conformer、Squeezeformer、DeepSpeech2模型,支持多种数据增强方法。

머신러닝PythonApache-2.0GitHub
764스타

基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。

머신러닝PythonApache-2.0GitHub

PPASR

yeyupiaoling

869스타

基于PaddlePaddle实现端到端中文语音识别,从入门到实战,超简单的入门案例,超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型

머신러닝PythonApache-2.0GitHub

ML-NOTE

yhangf

674스타

:orange_book:慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)

HLA

yifanzhang-pro

104스타
HLA preview

Official Project Page for HLA: Higher-order Linear Attention (https://arxiv.org/abs/2510.27258)

머신러닝HTMLCC-BY-4.0GitHub

Ordered-Neurons

yikangshen

581스타

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

머신러닝PythonBSD-3-ClauseGitHub
764스타

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

831스타

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.