MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users.
* More info + downloads: https://mlpack.org
* Git repo: https://github.com/mlpack/mlpack
Features
- Collaborative Filtering
- Density Estimation Trees
- Euclidean Minimum Spanning Trees
- Fast Exact Max-Kernel Search
- Gaussian Mixture Models (GMMs)
- Hidden Markov Models (HMMs)
- Kernel Principal Components Analysis
- K-Means Clustering
- Least-Angle Regression
- Local Coordinate Coding
- Locality-Sensitive Hashing
- Logistic regression
- Naive Bayes Classifier
- Neighborhood Components Analysis
- Non-negative Matrix Factorization
- Principal Components Analysis
- Independent Component Analysis
- Rank-Approximate Nearest Neighbor
- Least-Squares Linear Regression
- Sparse Coding
- Tree-based Neighbor Search
- Tree-based Range Search
- Neural Networks
- Deep Learning
Project Samples
License
BSD LicenseFollow MLPACK C++ machine learning library
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