Keras implementation (tensorflow backend) of natural language inference
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Updated
Apr 16, 2019 - Python
Keras implementation (tensorflow backend) of natural language inference
A packages containing all popular Learning Rate Schedulers. Implemented in Keras Tensorflow
SGDR: Stochastic Gradient Descent with Warm Restarts and Cosine Annealing learning rate schedule engine.
SGDR: Stochastic Gradient Descent with Warm Restarts and Cosine Annealing learning rate schedule engine.
A python library for supervised learning methods with PyTorch (CNN Training / Transfer Learning / Differential LRs / SGDR / CLR).
Cosine annealing scheduler for PyTorch
Framework-agnostic learning-rate schedules as pure functions, in Python with zero dependencies.
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