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房彪's Projects

cnn_for_slr icon cnn_for_slr

A trained Convolutional Neural Network implemented on ZedBoard Zynq-7000 FPGA.

deep-compression-pytorch icon deep-compression-pytorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

dirent icon dirent

C/C++ library for retrieving information on files and directories

face-tracking-robot icon face-tracking-robot

This project introduces how to build a Face Tracking Robot Using Some components of Hardware and Software, and Algorithm, Please View more detail as below if you want.

labview icon labview

在这里将用到绝大多数基于NI 平台的硬件项目，且这些项目是属于公开项目。在这里将了解到LABVIEW 编程技巧、LABVIEW项目开发心得和其他干货

neural-network-compression-and-accelerator-on-hardware icon neural-network-compression-and-accelerator-on-hardware

My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, Cheng Du, China. For more informantion about me and my research, you can go to [my homepage](https://github.com/hisrg). One of my research interests is architecture design for deep learning and neuromorphic computing. This is an exciting field where fresh ideas come out every day, so I'm collecting works on related topics. Welcome to join us!

onnx-python icon onnx-python

This repository is Onnx tutorial summary for python implements , which comes from other web resource.

snpe icon snpe

Snapdragon Neural Processing Engine (SNPE) SDKThe Snapdragon Neural Processing Engine (SNPE) is a Qualcomm Snapdragon software accelerated runtime for the execution of deep neural networks. With SNPE, users can: Execute an arbitrarily deep neural network Execute the network on the SnapdragonTM CPU, the AdrenoTM GPU or the HexagonTM DSP. Debug the network execution on x86 Ubuntu Linux Convert Caffe, Caffe2, ONNXTM and TensorFlowTM models to a SNPE Deep Learning Container (DLC) file Quantize DLC files to 8 bit fixed point for running on the Hexagon DSP Debug and analyze the performance of the network with SNPE tools Integrate a network into applications and other code via C++ or Java

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