GA-hyper-params

gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

deep-learning-random-explore

keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Finch

🐤The next evolution of evolution.

Training-BatchNorm-and-Only-BatchNorm

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Amazon-Forest-Computer-Vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Ne...

keras-xla-benchmarks

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

Keras-GAN

Keras implementations of Generative Adversarial Networks.

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms a...

Deep-learning-with-Python

Deep learning codes and projects using Python

stable-diffusion-keras-ft

Fine-tuning Stable Diffusion using Keras.