Caffe: a fast open framework for deep learning.

Open Source Routing Machine - C++ backend

Caffe: a fast open framework for deep learning.

Optimized primitives for collective multi-GPU communication

Patterns and behaviors for GPU computing

Bindings to forkpty(3) for node.js.

Caffe: a fast open framework for deep learning.

A guide for the rest of us on using C++ templates.

Some handy utility libraries and tools for the Caffe deep learning framework.

C++ transcripts of the Caffe2 Python tutorials and other C++ example code

NVIDIA CUDA™ bindings for Node.js

This is the repository for "Classic" wxPython. All new development is happening in the Phoenix project at https://github.com/wxWidgets/Phoenix

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

A tutorial series for learning OpenCL

ns3 implementation of the LEACH protocol for WSN

Shawn: The fast, highly customizable sensor network simulator

MiXiM - deprecated. Use INET 3.x instead!

A perceptive user interface

Computer Vision Projects

Age Estimation via fastAAMs

Robocar World Championship (OOCWC) is intended to offer a common research platform for developing urban traffic control algorithms and for investigating the relationship between smart cities and ro…

Example use of cusparse's spmv routine, with benchmarking/reporting code

A summed-area table is a data structure and algorithm for quickly and efficiently generating the sum of values in a rectangular subset of a grid. In the image processing domain, it is also known as…

A wireless sensor network simulator.

Serial and gpu/CUDA implementations of feedforward neural network and autoencoder

NVIDIA Caffe

BestSF

My implementation CSR - Compressed Sparse Row and CSIR - Compressed Sparse (lower triangle) Row sparse matrix formats