A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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Code for Data Science at Olin College, Spring 2014.
Approximate nearest neighbours implementation.
Assembly Tutorial is a GitHub repository or organization with source code, releases, documentation, or project resources.
Awesome Courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
Curated list of federated learning publications, re-organized from Arxiv (mostly).
Awesome Music Theory is a GitHub repository or organization with source code, releases, documentation, or project resources.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Neural networks in JavaScript - continued community fork of Brain.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
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.
FANN (Fast Artificial Neural Network) binding.
cs-video-courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
Torch CUDA Neural Network Implementation.
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
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.
Ready to use deeplearning docker images.
A fast Evolution Strategy implementation in Python.