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Benchmarks of machine learning inference for Go.
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An open source Go transpiler for machine learning models.
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Machine learning library written in pure Go.
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A high-level machine learning library in the vein of Keras.
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The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
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A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
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Fundamentals of machine learning in python.
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Platform for deploying your Machine Learning to production.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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General Automated Machine Learning Framework.
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A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
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A toolkit to help understand models and enable responsible machine learning.
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Autograd and XLA for high-performance machine learning research.
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Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
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A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
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An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
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Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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Koç University Deep Learning Framework.
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Deep learning framework written in Kotlin.
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Machine Learning Toolkit for Kubernetes.
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Machine Learning Pipelines for Kubeflow.
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LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.