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Course content and resources for the AIAIART course.
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A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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Roadmap to becoming an Artificial Intelligence Expert.
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Code for Data Science at Olin College, Spring 2014.
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Approximate nearest neighbours implementation.
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Scripts to generate a dataset with static frames from the Arcade Learning Environment.
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Curated list of automated machine learning papers, articles, tutorials, slides and projects.
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Curated list of Federated Learning Systems related academic papers, articles, tutorials, slides and projects.
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Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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Neural networks in JavaScript - continued community fork of Brain.
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Fast, flexible and fun neural networks. This is the successor of PyBrain.
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Distributed decision tree ensemble learning in Scala.
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Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
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Implementation of Random Forest in Common Lisp.
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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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Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
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Neural networks, regression and feature learning in Clojure.
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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
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FANN (Fast Artificial Neural Network) binding.
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Torch CUDA Neural Network Implementation.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.