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A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
Code for Data Science at Olin College, Spring 2014.
Approximate nearest neighbours implementation.
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
Awesome Math is a GitHub repository or organization with source code, releases, documentation, or project resources.
Neural networks in JavaScript - continued community fork of Brain.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Distributed decision tree ensemble learning in Scala.
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Implementation of Random Forest in Common Lisp.
Multidimensional cluster generation in Julia.
Multidimensional cluster generation in R.
Basic functions for clustering data: k-means, dp-means, etc.
Neural networks, regression and feature learning in Clojure.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
Torch CUDA Neural Network Implementation.
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
Dataframes for machine-learning and statistics (similar to pandas).
Decision Tree Classifier and Regressor.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
Julia module for Distance evaluation.
Clojure wrapper for Deeplearning4j.