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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Fast and convenient feature processing for low latency machine learning in Go.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
go-ml-benchmarks is a repository of machine learning inference benchmarks for Go, focused on tabular models such as XGBoost. It compares typical implementations using different transports, encodings, preprocessing libraries and models, using the Titanic dataset. The repository was archived by the owner and is now read-only.
github.com
An open source Go transpiler for machine learning models.
github.com
Machine learning library written in pure Go.
github.com
A high-level machine learning library in the vein of Keras.
github.com
Turi Create is a toolkit that simplifies the development of custom machine learning models, offered as an archived repository. It supports tasks such as recommendations, object detection, image classification, image similarity and activity classification, and can export models to Core ML. The repository was archived by its owner on December 21, 2023, and is now read-only.
github.com
Fundamentals of machine learning in python.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Hypernets is a general AutoML framework for building automatic optimization tools for machine learning frameworks and libraries, including tensorflow, keras, pytorch, sklearn, lightgbm and xgboost. It offers an abstract search space representation covering hyperparameter optimization and neural architecture search, with optimization algorithms such as evolution algorithm and Monte Carlo tree search.
github.com
Hyperopt is an open-source Python library available on GitHub, designed to provide distributed asynchronous hyperparameter optimization functionality for tuning machine learning models in development workflows, production environments, as well as research settings.
github.com
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.