Guillaume Chevalier
- Neuraxio/Neuraxle
- guillaume-chevalier/Awesome-Deep-Learning-Resources
- guillaume-chevalier/seq2seq-signal-prediction
- guillaume-chevalier/LSTM-Human-Activity-Recognition
- ujjwalkarn/Machine-Learning-Tutorials
- ChristosChristofidis/awesome-deep-learning
- jtoy/awesome-tensorflow
- SE-ML/awesome-seml
- endymecy/awesome-deeplearning-resources
- google-deepmind/sonnet
machine learning and deep learning tutorials, articles and other resources
common data analysis and machine learning tasks using python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.