| huawei-noah/vega |
790 |
|
0 |
0 |
about 3 years ago |
16 |
September 29, 2022 |
43 |
other |
Python |
| AutoML tools chain |
| csyhhu/Awesome-Deep-Neural-Network-Compression |
475 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
Python |
| Summary, Code for Deep Neural Network Quantization |
| lanl-ansi/PowerModels.jl |
357 |
|
0 |
0 |
about 2 years ago |
0 |
|
86 |
other |
Julia |
| A Julia/JuMP Package for Power Network Optimization |
| 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。 |
| 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 |
| ahmedfgad/NeuralGenetic |
201 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
|
Python |
| Building and training artificial neural networks (regression or classification) using the genetic algorithm. |
| XanaduAI/quantum-neural-networks |
156 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0. |
| lanl-ansi/PowerModelsDistribution.jl |
133 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
other |
Julia |
| A Julia/JuMP Package for Unbalanced Power Network Optimization |
