python code, notebooks and Images used for AI502 Midterm Project.
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Updated
May 25, 2020 - Jupyter Notebook
python code, notebooks and Images used for AI502 Midterm Project.
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.
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and Lookahead in one codebase
tf-keras-implemented YOLOv2
MXNet implementation of RAdam optimizer
On The Variance Of The Adaptive Learning Rate And Beyond in tensorflow
Literature survey of convex optimizers and optimisation methods for deep-learning; made especially for optimisation researchers with ❤️
Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)
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
基于tf.keras的多标签多分类模型
optimizer & lr scheduler & loss function collections in PyTorch
RAdam implemented in Keras & TensorFlow
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