Hyperparameter tuning for machine learning models using a distributed genetic algorithm
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Deep learning codes and projects using Python
GAN-based models to flash-simulate the LHCb PID detectors
Variable Length Genetic Algorithm for hyperparameter optimization of a CNN
Chess reinforcement learning by AlphaGo Zero methods.
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations,...
In this repository, I will share some useful notes and references about deploying deep learning-b...
Accumulated Gradients for TensorFlow 2
This repository is for automating artificial neural network model creation with tabular data usin...
Interpretability Methods for tf.keras models with Tensorflow 2.x
Distributed Deep learning with Keras & Spark
Provide an input CSV and a target field to predict, generate a model + code to run it.
A curated list of dedicated resources and applications
Easy hyperparameter optimization and automatic result saving across machine learning algorithms a...
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.