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Autograd and XLA for high-performance machine learning research.
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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
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
github.com
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
github.com
Kubeflow Katib is a Kubernetes-native project for automated machine learning (AutoML). It supports hyperparameter tuning, early stopping and neural architecture search, and is agnostic to machine learning frameworks, natively supporting frameworks such as TensorFlow, PyTorch and XGBoost. Training jobs can use any Kubernetes Custom Resources, with out-of-box support for Kubeflow Training Operator, Argo Workflows and Tekton Pipelines. A Python SDK simplifies creating tuning jobs.
github.com
Keepsake is a version control system for machine learning projects. It allows tracking changes to models, data, and experiments. It is developed by Replicate and hosted on GitHub as an open-source repository. The project is not actively maintained.
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
Machine Learning Toolkit for Kubernetes.
github.com
Machine Learning Pipelines for Kubeflow.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
github.com
Lambdo is a workflow engine that unifies feature engineering and machine learning operations. In its workflows, nodes can be treated as features or predictions, and both can be trained. It uses column-oriented data processing and provides functions for time-series analysis and forecasting.
github.com
Energy-based machine learning models built upon PyTorch.
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
Explaining the predictions of any machine learning classifier.
github.com
A comprehensive toolkit to build Machine Learning applications with Rust.
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.