Beast code in Giters

Junli Gu's repositories

OpenCL-caffe

OpenCL version of caffe

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Autoencoder

This is implementation of autoencoder in C++, OpenCL, CUDA

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caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

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deep-residual-networks

Deep Residual Learning for Image Recognition

MIT1 10

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

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This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

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veles

Distributed machine learning platform

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Autoware

Open-Source To Self-Driving.

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BinaryNet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

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caffe-segnet

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

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caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

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CLBlast

Tuned OpenCL BLAS

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CLCudaAPI

A portable high-level API with CUDA or OpenCL back-end

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DeepDreamVideo

implementing deep dream on video

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DMTK

Microsoft Distributed Machine Learning Tookit

MIT020

fast-rcnn

Fast R-CNN

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gpumembench

A GPU benchmark suite for assessing on-chip GPU memory bandwidth

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GTAVisionExport

Code to export full segmentations from GTA

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models

Models built with TensorFlow

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

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