artificial-neural-variability-for-deep-learning

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

optimization

View on GitHub

34 Stars

4 Forks

34 Watchers

Python Language

mit License

Cost to Build

$8.3K

Market Value

$10.2K

How is this calculated?

Growth over time

7 data points · 2021-07-01 → 2023-04-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about artificial-neural-variability-for-deep-learning

Question copied to clipboard

What is the zeke-xie/artificial-neural-variability-for-deep-learning GitHub project? Description: "The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone artificial-neural-variability-for-deep-learning

Clone via HTTPS

git clone https://github.com/zeke-xie/artificial-neural-variability-for-deep-learning.git

Clone via SSH

[email protected]:zeke-xie/artificial-neural-variability-for-deep-learning.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the artificial-neural-variability-for-deep-learning issue tracker:

Open GitHub Issues

Similar to artificial-neural-variability-for-deep-learning

prepack svgo closure-compiler llvm clean-css simplify imagemin game-programming-patterns webpackmonitor reactopt BayesianOptimization nnvm MTuner webdnn easyengine gosl soot scikit-optimize DietPi faster incubator-kie-optaplanner search-engine-optimization react-ssr-optimization opticss wheels owl meshoptimizer MLBox JuMP.jl eaopt