ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

1st ASTERICS-OBELICS International School

Open Source Computer Vision Library

C++ implementation of the Google logging module

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

Caffe: a fast open framework for deep learning.

Protocol Buffers - Google's data interchange format

The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source …

Fast R-CNN

Topic Modelling for Humans

MiniSom is a minimalistic implementation of the Self Organizing Maps

Python interface to the Stanford Named Entity Recognizer

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …