| polyaxon/polyaxon |
3,438 |
|
4 |
12 |
about 2 years ago |
418 |
December 09, 2023 |
122 |
apache-2.0 |
|
| MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle |
| minimaxir/automl-gs |
1,642 |
|
0 |
0 |
over 6 years ago |
2 |
April 05, 2019 |
25 |
mit |
Python |
| Provide an input CSV and a target field to predict, generate a model + code to run it. |
| AxeldeRomblay/MLBox |
1,403 |
|
0 |
0 |
about 3 years ago |
21 |
August 25, 2020 |
26 |
other |
Python |
| MLBox is a powerful Automated Machine Learning python library. |
| upul/Behavioral-Cloning |
215 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Python |
| Third Project of the Udacity Self-Driving Car Nanodegree Program |
| rolczynski/Automatic-Speech-Recognition |
116 |
|
0 |
0 |
almost 6 years ago |
5 |
March 24, 2020 |
5 |
agpl-3.0 |
Python |
| 🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow) |
| MarlonCajamarca/Keras-LSTM-Trajectory-Prediction |
81 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting |
| octoenergy/timeserio |
61 |
|
1 |
0 |
about 3 years ago |
4 |
March 03, 2020 |
8 |
mit |
Python |
| Better `keras` models for time series and beyond |
| neptune-ai/examples |
60 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| 📝 Examples of how to use Neptune for different use cases and with various MLOps tools |
| seth814/Semantic-Shapes |
47 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| A semantic segmentation pipeline for custom image annotation |
| Alireza-Akhavan/tf2-tutorial |
30 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Tensorflow 2 Tutorials (use tensorflow and keras in a better way!) |
