Train TensorFlow Keras models with cosine annealing and save an ensemble of models with no additional computational expense.
MIT License
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
Deep learning codes and projects using Python
Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series For...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
Boltzmann Machines in TensorFlow with examples
Implementation of DreamBooth in KerasCV and TensorFlow.
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Pytorch❤️ Keras 😋😋
Distributed Deep learning with Keras & Spark
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
Research Pipeline for image masking/segmentation in Keras
Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/a...
Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers