A (warmup) (cyclic) flat and anneal learning rate scheduler in pytorch
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Jan 8, 2021 - Python
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lr-scheduling
Here are 8 public repositories matching this topic...
A method for assigning separate learning rate schedulers to different parameters group in a model.
deep-learning
scheduler
optimizer
torch
pytorch
learning-rate
lr
lr-scheduling
learning-rate-scheduling
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Jul 20, 2023 - Python
Contains the examples which covers how to incrementally train, how to implement learning_rate scheduler, and how to implement custom objective and evaluation function in case of lightgbm/xgboost models.
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Dec 13, 2020 - Jupyter Notebook
Class activation maps, Weight Updates, Optimizers & LR Schedulers
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Oct 14, 2022 - Jupyter Notebook
Cosine Annealed 1cycle Policy for PyTorch
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Jun 27, 2020 - Python
TinyYoloV2 imagenet 1K results.
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Mar 10, 2019 - Python
tidyverse
eda
pytorch
hyperparameter-tuning
ensemble-model
imbalanced-data
resampling-methods
model-stacking
word2vec-embeddinngs
snapshot-ensemble
shap
optuna
lr-scheduling
gradcam-visualization
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May 31, 2021 - Jupyter Notebook
Built a custom adam scheduler using gradient clipping, LR scheduling, momentum updates, with two different loss functions
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Jan 20, 2024 - Python
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