The Wayback Machine - https://web.archive.org/web/20210821033127/https://github.com/topics/learning-rate
Here are
58 public repositories
matching this topic...
Play deep learning with CIFAR datasets
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Aug 27, 2020
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Python
A learning rate range test implementation in PyTorch
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Nov 5, 2020
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Python
Visualize Tensorflow's optimizers.
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Mar 7, 2018
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Python
An easy neural network for Java!
Videos of deep learning optimizers moving on 3D problem-landscapes
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Apr 12, 2018
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Jupyter Notebook
Improving MMD-GAN training with repulsive loss function
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May 21, 2019
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Python
Cyclic learning rate TensorFlow implementation.
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Mar 21, 2019
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Python
FIR & LMS filter implementation in C++ with Python & JAVA wrappers
One cycle policy learning rate scheduler in PyTorch
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May 16, 2019
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Python
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Jun 22, 2021
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Python
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
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Aug 4, 2020
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Python
Stochastic Weight Averaging - TensorFlow implementation
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Mar 2, 2019
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Python
How optimizer and learning rate choice affects training performance
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Apr 12, 2018
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Python
PyTorch implementation of some learning rate schedulers for deep learning researcher.
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May 20, 2021
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Python
Improved Hypergradient optimizers, providing better generalization and faster convergence.
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Jul 22, 2021
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Jupyter Notebook
Implementation of learning rate finder in TensorFlow
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Mar 4, 2019
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Python
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
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Jul 15, 2020
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Python
TensorFlow/Keras implementation of the paper: 'Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates'
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Jan 24, 2019
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Jupyter Notebook
Q-Learing algorithm solves simple mazes.
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Sep 29, 2017
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MATLAB
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
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Feb 7, 2021
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Python
Detect happy dogs in real-time
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Jul 23, 2019
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Jupyter Notebook
Residual Network Experiments with CIFAR Datasets.
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Jun 20, 2018
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Python
Benchmarking various Computer Vision models on TinyImageNet Dataset
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May 21, 2021
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Python
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
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Feb 1, 2021
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Python
A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks
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Jun 11, 2018
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Jupyter Notebook
Tensorflow-Keras callback implementing arXiv 1712.07628
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Apr 17, 2021
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Python
OneCycle LearningRateScheduler & Learning Rate Finder for TensorFlow 2.
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Nov 9, 2020
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Jupyter Notebook
Add-on functionality for the R implementation of Keras
It's all about NLP. From End- To- End.We will create Deep NLP beyond RNNs/LSTMs ( obsolete now) from scratch and learn why everything until GPT3.
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Jun 5, 2021
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Jupyter Notebook
Reproduction of the "Don't Decay the Learning Rate, Increase the Batch Size" conference paper.
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Jan 20, 2020
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Python
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