learning-rate-scheduling

optimizer & lr scheduler & loss function collections in PyTorch

Learning Rate Warmup in PyTorch

Gradient based Hyperparameter Tuning library in PyTorch

A guide that integrates Pytorch DistributedDataParallel, Apex, warmup, learning rate scheduler, also mentions the set-up of early-stopping and random seed.

Polynomial Learning Rate Decay Scheduler for PyTorch

Pytorch cyclic cosine decay learning rate scheduler

Automatic learning-rate scheduler

Warmup learning rate wrapper for Pytorch Scheduler

[EAAI] The official repo for the paper: "A Lightweight Multi-Head Attention Transformer for Stock Price Forecasting".

A learning rate recommending and benchmarking tool.

Keras Callback to Automatically Adjust the learning rate when it stops improving

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy

Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining

Implementation of fluctuation dissipation relations for automatic learning rate annealing.

A method for assigning separate learning rate schedulers to different parameters group in a model.

(GECCO2023 Best Paper Nomination & ACM TELO) CMA-ES with Learning Rate Adaptation

Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.

End-to-end Image Classification using Deep Learning toolkit for custom image datasets. Features include Pre-Processing, Training with Multiple CNN Architectures and Statistical Inference Tools. Special utilities for RAM optimization, Learning Rate Scheduling, and Detailed Code Comments are included.