radam

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.

Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)

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

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

MXNet implementation of RAdam optimizer

tf-keras-implemented YOLOv2

Benchmarking Optimizers for Sign Language detection

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.