radam

RAdam implemented in Keras & TensorFlow

#计算机科学#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

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)

#计算机科学#Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)

#计算机科学#Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻

#Awesome#Literature survey of convex optimizers and optimisation methods for deep-learning; made especially for optimisation researchers with ❤️

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

#计算机科学#MXNet implementation of RAdam optimizer

tf-keras-implemented YOLOv2

#计算机科学#Benchmarking Optimizers for Sign Language detection

#计算机科学#Classify known sites from around the world, given challenging and very big data set. This project is based on a kaggle competition.

python code, notebooks and Images used for AI502 Midterm Project.