Boshne

Boshne's Stars

• sjtuzwj/My-OJ-practice

  Some answer

  Language:C++71

• midudu/MCM

  第十五届**研究生数学建模竞赛The 15th China Post-Graduate Mathematical Contest in Modelling

  Language:Java21

• midudu/LeetCode

  Language:Java2

• miguelgrinberg/flasky

  Companion code to my O'Reilly book "Flask Web Development", second edition.

  Language:Python8.5k4.2k

• DingKe/nn_playground

  Experimental keras implementation of novel neural network structures

  Language:Python430152

• jyfc/ebook

  classic books of computer science

  1.6k3k

• huangmingchuan/Cpp_Primer_Answers

  《C++ Primer》第五版中文版习题答案

  Language:C++2.8k798

• BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow

  Quantized Neural Networks - networks trained for inference at arbitrary low precision.

  Language:Python14644

• hpi-xnor/BMXNet

  (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

  Language:C++35095

• BertMoons/QuantizedNeuralNetworks-Lasagne-Theano

  Language:Python4

• ethanhe42/channel-pruning

  Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

  Language:Python1.1k310

• TropComplique/trained-ternary-quantization

  Reducing the size of convolutional neural networks

  Language:Jupyter Notebook11229

• aaron-xichen/pytorch-playground

  Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

  Language:Python2.6k610

• AngusG/tensorflow-xnor-bnn

  BinaryNets in TensorFlow with XNOR GEMM op

  Language:C++15439

• Xilinx/QNN-MO-PYNQ

  Language:Jupyter Notebook238114

• CAS-CLab/quantized-cnn

  An efficient framework for convolutional neural networks

  Language:C++27499

• czhu95/ternarynet

  Implementation for Trained Ternary Network.

  Language:Python10841

• maltanar/BNN-PYNQ

  Language:Jupyter Notebook61

• slide-lig/tnn-train

  training ternary neural networks

  Language:Lua123

• zhaoweicai/hwgq

  Caffe implementation of accurate low-precision neural networks

  Language:C++11833

• MatthieuCourbariaux/deep-learning-multipliers

  Training deep neural networks with low precision multiplications

  Language:Python6327

• heynemann/pynq

  Python implementation of Microsoft's .Net Language Integrated Query (LINQ)

  Language:Python15315

• Xilinx/PYNQ

  Python Productivity for ZYNQ

  Language:Jupyter Notebook2k814

• zssloth/Embedded-Neural-Network

  collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

  552121

• hiteshvaidya/Model-Compression

  This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016

  Language:Python7622

• doonny/PipeCNN

  An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

  Language:C1.2k370

• HirokiNakahara/GUINNESS

  GUINNESS: A GUI-based binarized deep Neural NEtwork SyntheSizer toward an FPGA

  Language:Python18037

• Xilinx/BNN-PYNQ

  Quantized Neural Networks (QNNs) on PYNQ

  Language:Jupyter Notebook668307

• YeDeheng/bitgpu

  BitGPU is a GPU approach to solve the bitwidth optimization problem in FPGA datapaths.

  Language:C114

• human-analysis/LBCNN

  Local Binary Convolutional Neural Networks

  Language:Lua114