Highlights
- Pro
Stars
An Open Source Machine Learning Framework for Everyone
A framework for building native applications using React
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Turi Create simplifies the development of custom machine learning models.
180+ Algorithm & Data Structure Problems using C++
TreeFrog Framework : High-speed C++ MVC Framework for Web Application
Quantized word vectors that take 8x-16x less space than regular word vectors
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155
Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
Memory efficient, serializable implementation of online random forest algorithm, with gini information measure on the GPU using OpenCL.
FAB-GMM estimates Gaussian Mixture Model (GMM) parameter based on Factorized Asymptotic Bayes (FAB) algorithm.