https://pypi.org/project/gansforvirtualeye/ Recent updates to the Python Package Index for GANsforVirtualEye en https://pypi.org/project/gansforvirtualeye/0.1.7/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Fri, 06 Dec 2024 03:24:10 GMT https://pypi.org/project/gansforvirtualeye/0.1.6/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Tue, 03 Dec 2024 20:58:57 GMT https://pypi.org/project/gansforvirtualeye/0.1.5/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Sat, 23 Nov 2024 15:38:13 GMT https://pypi.org/project/gansforvirtualeye/0.1.4/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Tue, 19 Nov 2024 08:29:45 GMT https://pypi.org/project/gansforvirtualeye/0.1.3/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Tue, 19 Nov 2024 08:24:21 GMT https://pypi.org/project/gansforvirtualeye/0.1.2/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Tue, 19 Nov 2024 08:19:42 GMT https://pypi.org/project/gansforvirtualeye/0.1.1/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Tue, 19 Nov 2024 08:04:11 GMT https://pypi.org/project/gansforvirtualeye/0.1.0/ This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs. shailendra.bhandari@oslomet.no Tue, 19 Nov 2024 07:57:31 GMT