Learning Rate Techniques Keras
Exploring learning rates to improve model performance
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Autoopt | 32 | 4 years ago | apache-2.0 | Python | ||||||
| Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent | ||||||||||
| Learning Rate | 25 | 6 years ago | Jupyter Notebook | |||||||
| Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras | ||||||||||
| Optimizer Benchmark | 10 | a year ago | 1 | apache-2.0 | Python | |||||
| Benchmark Suite for Stochastic Gradient Descent Optimization Algorithms in Pytorch | ||||||||||
| Check_cosine_annealing_lr | 10 | 5 years ago | Jupyter Notebook | |||||||
| Used torch.optim.lr_scheduler.CosineAnnealingLR() | ||||||||||
| Movie Recommendation | 9 | 3 years ago | Python | |||||||
| Adadp | 8 | 3 years ago | mit | Python | ||||||
| Learning rate adaptation for differentially private stochastic gradient descent | ||||||||||
| Learning Rate Techniques Keras | 7 | 5 years ago | 2 | Python | ||||||
| Exploring learning rates to improve model performance | ||||||||||
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