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Tensorforce: a TensorFlow library for applied reinforcement learning
The main features of tensorforce/tensorforce are: Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks, Perception and Machine Learning.
Projects with overlapping indexed features include: tensorflow/agents — TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning. catalyst-team/catalyst — Accelerated deep learning R&D. 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. batzner/tensorlm — Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
TensorLight - A high-level framework for TensorFlow
Hyperparameter Experiments with TensorFlow and Keras