Frameworks

Determined AI

	Hyperparameter Tuning	Neural Architecture Search	Model Compression
Algorithms	- Exhaustive search - Grid Search - Random - Heuristic search - Anneal - Evolution - Hyperband - PBT - Bayesian optimization - BOHB - DNGO - GP - Metis - SMAC - TPE	- Multi-trial - Grid Search - Policy Based RL - Random - Regularized Evolution - TPE - One-shot - DARTS - ENAS - FBNet - ProxylessNAS - SPOS	- Pruning - Level - L1 Norm - Taylor FO Weight - Movement - AGP - Auto Compress - More… - Quantization - Naive - QAT - LSQ - Observer - DoReFa - BNN
	Supported Frameworks	Training Services	Tutorials
Supports	- PyTorch - TensorFlow - Scikit-learn - XGBoost - LightGBM - MXNet - Caffe2 - More…	- Local machine - Remote SSH servers - Azure Machine Learning (AML) - Kubernetes Based - OpenAPI - Kubeflow - FrameworkController - AdaptDL - PAI DLC - Hybrid training services	- HPO - PyTorch - TensorFlow - NAS - Hello NAS - NAS Benchmarks - Compression - Pruning - Pruning Speedup - Quantization - Quantization Speedup