Keras_gpyopt Alternatives
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Geneticalgorithmpython | 1,564 |  | 8 | a year ago | 57 | September 08, 2023 | 77 | bsd-3-clause | Python | |
| Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). | ||||||||||
| Awesome Deep Neural Network Compression | 475 | 2 years ago | 4 | Python | ||||||
| Summary, Code for Deep Neural Network Quantization | ||||||||||
| One | 374 | a year ago | 43 | September 22, 2023 | 504 | other | C++ | |||
| On-device Neural Engine | ||||||||||
| Optnet | 321 | 5 years ago | 2 | apache-2.0 | Python | |||||
| OptNet: Differentiable Optimization as a Layer in Neural Networks | ||||||||||
| Chinese Ufldl Tutorial | 282 | 7 years ago | 11 | apache-2.0 | ||||||
| [UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。 | ||||||||||
| Deeplearning.ai Notes | 271 | 4 years ago | Jupyter Notebook | |||||||
| These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code. | ||||||||||
| Awesome Dl Projects | 237 | 3 years ago | Jupyter Notebook | |||||||
| This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases. | ||||||||||
| Np Hard Deep Reinforcement Learning | 231 | 7 years ago | 2 | Jupyter Notebook | ||||||
| pytorch neural combinatorial optimization | ||||||||||
| Neuralverification.jl | 215 | a year ago | 35 | mit | Julia | |||||
| Methods to soundly verify deep neural networks | ||||||||||
| Neuralgenetic | 201 | 2 years ago | 2 | Python | ||||||
| Building and training artificial neural networks (regression or classification) using the genetic algorithm. | ||||||||||
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Bayesian Optimization