A learning rate range test implementation in PyTorch

Play deep learning with CIFAR datasets

Visualize Tensorflow's optimizers.

An easy neural network for Java!

Videos of deep learning optimizers moving on 3D problem-landscapes

Improving MMD-GAN training with repulsive loss function

PyTorch implementation of some learning rate schedulers for deep learning researcher.

FIR & LMS filter implementation in C++ with Python & JAVA wrappers

Cyclic learning rate TensorFlow implementation.

Learning rate multiplier

One cycle policy learning rate scheduler in PyTorch

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

Stochastic Weight Averaging - TensorFlow implementation

SaLSa Optimizer implementation (No learning rates needed)

Benchmarking various Computer Vision models on TinyImageNet Dataset

Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net

How optimizer and learning rate choice affects training performance

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

OneCycle LearningRateScheduler & Learning Rate Finder for TensorFlow 2.

Improved Hypergradient optimizers, providing better generalization and faster convergence.