| ahmedfgad/GeneticAlgorithmPython |
1,564 |
|
0 |
8 |
over 2 years 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). |
| csyhhu/Awesome-Deep-Neural-Network-Compression |
475 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
Python |
| Summary, Code for Deep Neural Network Quantization |
| Samsung/ONE |
374 |
|
0 |
0 |
about 2 years ago |
43 |
September 22, 2023 |
504 |
other |
C++ |
| On-device Neural Engine |
| locuslab/optnet |
321 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| OptNet: Differentiable Optimization as a Layer in Neural Networks |
| ysh329/Chinese-UFLDL-Tutorial |
282 |
|
0 |
0 |
about 8 years ago |
0 |
|
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。 |
| ppant/deeplearning.ai-notes |
271 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
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. |
| wandb/awesome-dl-projects |
237 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases. |
| higgsfield/np-hard-deep-reinforcement-learning |
231 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| pytorch neural combinatorial optimization |
| sisl/NeuralVerification.jl |
215 |
|
0 |
0 |
over 2 years ago |
0 |
|
35 |
mit |
Julia |
| Methods to soundly verify deep neural networks |
| ds4dm/learn2branch |
201 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
mit |
Python |
| Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019) |
