| donnemartin/data-science-ipython-notebooks |
25,668 |
|
0 |
0 |
over 2 years ago |
0 |
|
34 |
other |
Python |
| Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. |
| jeffheaton/t81_558_deep_learning |
5,590 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis |
| minimaxir/textgenrnn |
4,426 |
|
14 |
2 |
almost 5 years ago |
14 |
February 02, 2020 |
122 |
other |
Python |
| Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. |
| leriomaggio/deep-learning-keras-tensorflow |
2,863 |
|
0 |
0 |
over 4 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| Introduction to Deep Neural Networks with Keras and Tensorflow |
| raghakot/keras-vis |
2,592 |
|
28 |
1 |
almost 6 years ago |
11 |
July 06, 2017 |
104 |
mit |
Python |
| Neural network visualization toolkit for keras |
| danielegrattarola/spektral |
2,317 |
|
0 |
6 |
about 2 years ago |
34 |
June 01, 2023 |
67 |
mit |
Python |
| Graph Neural Networks with Keras and Tensorflow 2. |
| naiveHobo/InvoiceNet |
2,297 |
|
0 |
0 |
over 2 years ago |
0 |
|
62 |
mit |
Python |
| Deep neural network to extract intelligent information from invoice documents. |
| Kayzaks/HackingNeuralNetworks |
2,215 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| A small course on exploiting and defending neural networks |
| trekhleb/machine-learning-experiments |
1,552 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo |
| bioinf-jku/SNNs |
1,513 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
gpl-3.0 |
Jupyter Notebook |
| Tutorials and implementations for "Self-normalizing networks" |
