gujunli

gujunli's Stars

• commaai/openpilot

  openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.

  Language:Python49.2k1.3k2.7k9k

• apache/mxnet

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

  Language:C++20.8k1.1k9.6k6.8k

• deeplearning4j/deeplearning4j

  Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

  Language:Java13.6k7655.8k3.8k

• KaimingHe/deep-residual-networks

  Deep Residual Learning for Image Recognition

  6.4k301702.2k

• NervanaSystems/neon

  Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

  Language:Python3.9k326389811

• forresti/SqueezeNet

  SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

  2.2k10857723

• zer0n/deepframeworks

  Evaluation of Deep Learning Frameworks

  2k19824305

• alexgkendall/caffe-segnet

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

  Language:C++1.1k76150452

• CNugteren/CLBlast

  Tuned OpenCL BLAS

  Language:C++1k58325205

• Samsung/veles

  Distributed machine learning platform

  Language:C++9068552180

• ducha-aiki/caffenet-benchmark

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

  Language:Jupyter Notebook742779155

• andravin/wincnn

  Winograd minimal convolution algorithm generator for convolutional neural networks.

  Language:Python6003025144

• mlcommons/ck

  Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware

  Language:Python59751484110

• baidu/Cafe

  A powerful test framework for Android

  Language:Java3689252215

• DeepMark/deepmark

  THE Deep Learning Benchmarks

  Language:Lua35172641

• viennacl/viennacl-dev

  Developer repository for ViennaCL. Visit http://viennacl.sourceforge.net/ for the latest releases.

  Language:C++2815023189

• vitruvianscience/OpenDeep

  Modular & extensible deep learning framework built on Theano.

  Language:Python209251554

• mjhucla/Google_Refexp_toolbox

  The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

  Language:Jupyter Notebook16011546

• umautobots/GTAVisionExport

  Code to export full segmentations from GTA

  Language:C++126124742

• Koidra/MLx

  Yet another machine learning framework

  Language:Python14365

• YutingZhang/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++13700

• Metadiff/graph-ir

  Graph Intermediate Representation

  Language:C++102

• gujunli/Autoencoder-RBM

  Language:C++4402

• nhanloukiala/OpenCL-Benchmark

  Bench OpenCL

  Language:C++4203

• karrenberg/wfvopencl-benchmarks

  OpenCL Benchmarks, mostly from the AMD APP SDK. Some were slightly modified to allow better benchmarking of whole-function vectorization.

  Language:C++3204

• andravin/maxDNN

  High Efficiency Convolution Kernel for Maxwell GPU Architecture

  Language:C++2101

• GElliott/pgm

  A real-time-oriented implementation of the Processing Graph Method (PGM).

  Language:C++2213

• hughperkins/project-ideas

  Ideas for projects

  240

• gujunli/caffe-cvprw15

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

  Language:C++1100

• gujunli/torch-residual-networks

  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.

  Language:Jupyter Notebook1101