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NeuPy is a Tensorflow based python library for prototyping and building neural networks
The main features of itdxer/neupy are: Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks.
Projects with overlapping indexed features include: cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process… bsautermeister/tensorlight — TensorLight - A high-level framework for TensorFlow. autonomio/talos — Hyperparameter Experiments with TensorFlow and Keras. catalyst-team/catalyst — Accelerated deep learning R&D. batzner/tensorlm — Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow. ctallec/pyvarinf — Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch.
TensorLight - A high-level framework for TensorFlow
Hyperparameter Experiments with TensorFlow and Keras
Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow
