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Conjecture is an open-source project hosted on GitHub that provides tools for scalable machine learning using the Scalding framework. It includes tutorials for creating training data, training classifiers, and evaluating classifiers.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
FANN (Fast Artificial Neural Network) binding.
cunn is a GitHub repository under the Torch organization that provides resources for the cunn project. The repository includes documentation for installation, usage, running unit tests, and GPU training concepts.
cutorch is a CUDA backend for Torch7. It provides a torch.CudaTensor type that behaves like torch.FloatTensor with operations on the GPU, along with other GPU tensor types limited to copying, conversion, and certain indexing and shaping operations. The cutorch module offers functions for setting the GPU, reading device properties and memory usage, and managing streams and seeds.
Decision Tree Classifier and Regressor.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Julia module for Distance evaluation.
Ready to use deeplearning docker images.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
EvalML is an AutoML library written in Python that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions. It includes data quality checks, cross-validation, preprocessing, feature engineering, feature selection, and model understanding tools. Install from PyPI or conda-forge.
A fast Evolution Strategy implementation in Python.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
