debughacker

TensorFlow-Course

:satellite: Simple and ready-to-use tutorials for TensorFlow

kubernetes-handbook

Kubernetes中文指南/云原生应用架构实战手册

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Games

Games: Create interesting games in pure python.

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

imgclsmob

Sandbox for training deep learning networks

blog

前端博客，关注基础知识和性能优化。

Shadowsocks-Tutorial

🐱给小白的Shadowsocks翻墙教程-Easy-to-follow tutorials for beginners on using Shadowsocks to bypass internet restrictions.

sod

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

StarGAN-Tensorflow

Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)

Accelerating-CNN-with-FPGA

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

finn

Dataflow compiler for QNN inference on FPGAs

My-Data-Competition-Experience

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

spooNN

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Tiny_YOLO_v3_ZYNQ

Implement Tiny YOLO v3 on ZYNQ

RISC-V-On-PYNQ

RISC-V Integration for PYNQ

imagenet

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Algorithmic_Template

🍭lzyrapx 's algorithmic library. Some templates for ACMer, OIer, Algorithm enthusiast.

xilinx-tiny-cnn

LeetCode-CLRS-Python

Finally, going to take LeetCode

PYNQ-DL

Xilinx Deep Learning IP

iSmartDNN

Light-weighted neural network inference for object detection on small-scale FPGA board

PYNQ_CNN_Accelerator_Tutorial

中文：

DAC2018-TGIIF

The 1st place winner's source codes for DAC 2018 System Design Contest, FPGA Track

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!

MIPS-CPU

Xilinx Project for MIPS CPU

CloudQ

🐘 分布式计算资源调度平台

Leetcode