tf-keras-implemented YOLOv2

MXNet implementation of RAdam optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and Lookahead in one codebase

On The Variance Of The Adaptive Learning Rate And Beyond in tensorflow

Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻

Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.

A collection of deep learning models (PyTorch implemtation)

Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

optimizer & lr scheduler & loss function collections in PyTorch

基于tf.keras的多标签多分类模型

RAdam implemented in Keras & TensorFlow