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Keras Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Ignite is a high-level training framework for PyTorch neural networks that serves as a training engine and deep learning lifecycle manager. It provides a structured system for organizing and automating training and evaluation loops, managing data iterators and triggering event handlers at specific milestones during the model training process. The project distinguishes itself through a comprehensive suite of tools for distributed training and model evaluation. It includes utilities for synchronizing gradients and coordinating collective communication across multiple GPUs or nodes, as well as a
GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process models. It provides a system for Gaussian process modeling and uncertainty estimation, designed to perform efficient matrix operations on graphics hardware. The framework features a modular kernel system for constructing custom covariance functions and modeling complex data dependencies. It specifically integrates Gaussian processes with deep neural networks to create hybrid models for regression and classification. The system employs numerical linear algebra techniques, inclu
Distributed Deep learning with Keras & Spark
The main features of maxpumperla/elephas are: Deep Learning, Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks, Developer Tools.
Open-source alternatives to maxpumperla/elephas include: pytorch/ignite — Ignite is a high-level training framework for PyTorch neural networks that serves as a training engine and deep… maxpumperla/hyperas — Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization. catalyst-team/catalyst — Accelerated deep learning R&D. google/qkeras — QKeras: a quantization deep learning library for Tensorflow Keras. bsautermeister/tensorlight — TensorLight - A high-level framework for TensorFlow. cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process…
