“第十四章 学习策略”版本间的差异
来自cslt Wiki
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==开发者资源== | ==开发者资源== | ||
| + | * Python package for rule induction: Rule kit [https://github.com/adaa-polsl/RuleKit-python] imodels[https://libraries.io/pypi/imodels] | ||
* Python package for neural nets: PyTorch [https://pytorch.org/] TensorFlow[https://www.tensorflow.org/learn] NeuralLab[https://github.com/zueve/neurolab] | * Python package for neural nets: PyTorch [https://pytorch.org/] TensorFlow[https://www.tensorflow.org/learn] NeuralLab[https://github.com/zueve/neurolab] | ||
* Python package for Bayes network: bnlearn[https://pypi.org/project/bnlearn/]pgmpy[https://pgmpy.org/index.html]pomegranate [https://pomegranate.readthedocs.io/en/latest/index.html] | * Python package for Bayes network: bnlearn[https://pypi.org/project/bnlearn/]pgmpy[https://pgmpy.org/index.html]pomegranate [https://pomegranate.readthedocs.io/en/latest/index.html] | ||
2022年8月4日 (四) 03:31的版本
教学资料
扩展阅读
演示链接
开发者资源
- Python package for rule induction: Rule kit [10] imodels[11]
- Python package for neural nets: PyTorch [12] TensorFlow[13] NeuralLab[14]
- Python package for Bayes network: bnlearn[15]pgmpy[16]pomegranate [17]
- Python package for evolutionary learning: PyGAD[18] geneticalgorithm2 [19] GeneAI[20]
