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
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.