Stars
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
mlpack: a fast, header-only C++ machine learning library
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Compressed numerical arrays that support high-speed random access
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are include…
Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I…
Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation by Koichiro Yamaguchi, David McAlleste, Raquel Urtasun
This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implem…