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Fully Convolutional Instance-aware Semantic Segmentation
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Fast parallel CTC.
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GPU database engine
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MatConvNet: CNNs for MATLAB
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Automatically exported from code.google.com/p/cuda-convnet2
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A GPU implementation of Convolutional Neural Nets in C++
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Introduction to Parallel Programming class code
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Fast, gpu-based CSV parser
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Optimized primitives for collective multi-GPU communication
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Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
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Benchmarking Deep Learning operations on different hardware
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CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.
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A CUDA backend for Torch7
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High-Performance Graph Primitives on GPUs
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Facebook's CUDA extensions.
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Fork of Alex Krizhevsky's cuda-convnet 1. Adds dropout.
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Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.
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Source code that accompanies The CUDA Handbook.
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CUDA Data Parallel Primitives Library
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Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
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A CUDA implementation of SIFT for NVidia GPUs (2.6 ms on a GTX 1060)
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Unsupervised Learning of Video Representations using LSTMs
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DeepSpeech neon implementation
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