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Multidimensional cluster generation in Julia.
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Multidimensional cluster generation in R.
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Basic functions for clustering data: k-means, dp-means, etc.
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Scalable Machine Learning in Scalding.
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FANN (Fast Artificial Neural Network) binding.
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Torch CUDA Neural Network Implementation.
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A data orchestrator for machine learning, analytics, and ETL.
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Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
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Decision Tree Classifier and Regressor.
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A fast Clojure Tensor & Deep Learning library.
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Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
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Scalable deep learning for industry with parallel GPUs.
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Deep learning optimization library that makes distributed training easy, efficient, and effective.
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An open source machine learning framework in Rust Δ.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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Deep learning in Rust, with shape checked tensors and neural networks.
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Julia module for Distance evaluation.
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Clojure wrapper for Deeplearning4j.
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Ready to use deeplearning docker images.
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Scala Library/REPL for Machine Learning Research.
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
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Python package which helps to debug machine learning classifiers and explain their predictions.
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A simple and functional machine learning library written in Elixir.
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Machine learning development environment for data science and AI/ML engineering teams.