An Open Source Machine Learning Framework for Everyone

A library for efficient similarity search and clustering of dense vectors.

Caffe: a fast open framework for deep learning.

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

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

a distributed deep learning platform

Shōgun

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Library for factorization machines

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework

Implement feature hashing with R

c++ programming exercises