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Cascading. Party - party: A Laboratory for Recursive Partytioning. General-Purpose Machine Learning Awesome Machine Learning with Ruby - Curated list of ML related resources for Ruby. Dpnn - Many useful features that aren't part of the main nn package. Pastalog - Simple, realtime visualization of neural network training performance. DataFrames - library for working with tabular data in Julia. Ee - ee: Oblique Trees for Classification Data. Hopfield-networks - Hopfield Networks for unsupervised learning in Haskell. DA - Julia package for Regularized Discriminant Analysis. Neural - A neural network in Julia. Stitch - allows us to use hugin to stitch images and apply same stitching to a video sequence.

Breeze - Breeze is a numerical processing library for Scala. SAS General-Purpose Machine Learning Visual Data Mining and Machine Learning - Interactive, automated, and programmatic modeling with the latest machine learning algorithms in and end-to-end analytics environment, from data prep to deployment. PGM - A Julia framework for probabilistic graphical models.

Crab - A recommendation engine library for Python. YAlign - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. It features interactive, node-by-node debugging and visualization for TensorFlow. Saul street smarts high probability short term trading strategies - Flexible Declarative Learning-Based Programming. Arules - arules: Mining Association Rules and Frequent Itemsets biglasso - biglasso: Extending Lasso Model Fitting to Big Data. Expand your possibilities with always-on market access in every time zone, nearly 24 hours a day. OverFeat - A state-of-the-art generic dense feature extractor. Multi-Perceptron-NeuralNetwork - it implemented multi-perceptrons neural network based on Back Propagation Neural Network (BPN) and designed unlimited-hidden-layers.

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