| 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. |
| Sakura-gh/ML-notes |
3,198 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
gpl-2.0 |
HTML |
| notes about machine learning |
| jisungk/deepjazz |
2,583 |
|
0 |
0 |
almost 7 years ago |
0 |
|
12 |
apache-2.0 |
Python |
| Deep learning driven jazz generation using Keras & Theano! |
| onnx/tensorflow-onnx |
2,133 |
|
3 |
64 |
about 2 years ago |
32 |
August 25, 2023 |
163 |
apache-2.0 |
Jupyter Notebook |
| Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX |
| philipperemy/keras-tcn |
1,749 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
mit |
Python |
| Keras Temporal Convolutional Network. |
| ilkarman/DeepLearningFrameworks |
1,609 |
|
0 |
0 |
almost 8 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| Demo of running NNs across different frameworks |
| 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 |
| khundman/telemanom |
793 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
other |
Jupyter Notebook |
| A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions. |
| LongxingTan/Time-series-prediction |
762 |
|
0 |
0 |
over 2 years ago |
11 |
October 16, 2023 |
11 |
mit |
Python |
| tfts: Time series deep learning models in TensorFlow |
| wagamamaz/tensorflow-tutorial |
751 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
|
| TensorFlow and Deep Learning Tutorials |
