RAdam implemented in Keras & TensorFlow
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Updated
Jan 22, 2022 - Python
RAdam implemented in Keras & TensorFlow
optimizer & lr scheduler & loss function collections in PyTorch
基于tf.keras的多标签多分类模型
Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay
A collection of deep learning models (PyTorch implemtation)
Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.
Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
On The Variance Of The Adaptive Learning Rate And Beyond in tensorflow
MXNet implementation of RAdam optimizer
tf-keras-implemented YOLOv2
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and Lookahead in one codebase
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