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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
A machine learning / bayesian inference assigning attributes to objects.
github.com
A comprehensive set of fairness metrics for datasets and machine learning models.
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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AutoML framework & toolkit for machine learning on graphs.
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Automated machine learning for image, text, tabular, time-series, and multi-modal data.
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AutoKeras goal is to make machine learning accessible for everyone.
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Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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A curated list of machine learning models in CoreML format.
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Curated list of federated learning publications, re-organized from Arxiv (mostly).
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List of awesome compiler projects and papers for tensor computation and deep learning.
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CPU and GPU-accelerated Machine Learning Library.
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Fast open framework for deep learning.
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Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
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A PyTorch based deep learning library for drug pair scoring.
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Python library for data-centric AI and machine learning with messy, real-world data and labels.
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Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
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A machine learning library for Clojure built on top of Weka and friends.
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Open-source library for implementing CI/CD in machine learning projects.
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Scalable Machine Learning in Scalding.
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A data orchestrator for machine learning, analytics, and ETL.
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A fast Clojure Tensor & Deep Learning library.
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Scalable deep learning for industry with parallel GPUs.