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GitHub topics: cosine-annealing

ahundt/sharpDARTS

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Language: Python - Size: 6.31 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 4

Andras7/word2vec-pytorch

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

Language: Python - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 165 - Forks: 54

iSiddharth20/DeepLearning-ImageClassification-Toolkit

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.

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

mpyrozhok/adamwr

Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 140 - Forks: 24

syfly007/darknet Fork of AlexeyAB/darknet

Add some useful functions based on AlexeyAB darknet

Language: C - Size: 12 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Moddy2024/ResNet-34

Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.

Language: Jupyter Notebook - Size: 179 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0