| alvinwan/neural-backed-decision-trees |
445 |
|
0 |
0 |
almost 5 years ago |
0 |
|
8 |
mit |
Python |
| Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet |
| Skylark0924/Machine-Learning-is-ALL-You-Need |
337 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| 🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need! |
| kimhc6028/soft-decision-tree |
196 |
|
0 |
0 |
over 7 years ago |
0 |
|
10 |
bsd-3-clause |
Python |
| pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree" |
| sylvaticus/BetaML.jl |
83 |
|
0 |
0 |
about 2 years ago |
0 |
|
7 |
mit |
Julia |
| Beta Machine Learning Toolkit |
| PacktWorkshops/The-Deep-Learning-with-Keras-Workshop |
40 |
|
0 |
0 |
over 3 years ago |
0 |
|
16 |
mit |
Jupyter Notebook |
| An Interactive Approach to Understanding Deep Learning with Keras |
| nenadmarkus/nets-and-trees |
30 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
TeX |
| This demo shows how to learn a neural network on top of decision trees |
| UKPLab/tacl2017-event-time-extraction |
18 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Event Time Extraction with a Decision Tree of Neural Classifiers |
| Nikeshbajaj/Machine_Learning_From_Scratch |
15 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Machine Learning models from scratch with a better visualisation |
| houghb/lignet |
10 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
bsd-2-clause |
Jupyter Notebook |
| Artificial neural networks for modeling lignin pyrolysis |
| Puneet2000/In-Depth-ML |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| In depth machine learning resources |
