Python library to easily log experiments and parallelize hyperparameter search for neural networks
MIT License
Hyperparameter Experiments with TensorFlow and Keras
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and tra...
A High-Level training API on top of PyTorch
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Ne...
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
In this repository, I will share some useful notes and references about deploying deep learning-b...
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Easy hyperparameter optimization and automatic result saving across machine learning algorithms a...
Provide an input CSV and a target field to predict, generate a model + code to run it.
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Lea...
View model summaries in PyTorch!
Create, train, and save Tensorflow Keras models all in Golang
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱