Libraries for applying sparsification recipes to neural networks with a ...
High-Performance Symbolic Regression in Python and Julia
Provide an input CSV and a target field to predict, generate a model + c...
[ICLR 2020] Once for All: Train One Network and Specialize it for Effici...
Java and Kotlin Code samples used on cloud.google.com
Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI,...
[UNMAINTAINED] Automated machine learning for analytics & production
Automatically Visualize any dataset, any size with a single line of code...
Official Implementation of 'Fast AutoAugment' in PyTorch.
Automated deep learning algorithms implemented in PyTorch.
Open-source implementation of Google Vizier for hyper parameters tuning
MLBox is a powerful Automated Machine Learning python library.
Automated Machine Learning on Kubernetes
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Ta...
Tangram makes it easy for programmers to train, deploy, and monitor mach...