xxrrwang's Stars
ruanyf/es6tutorial
《ECMAScript 6入门》是一本开源的 JavaScript 语言教程,全面介绍 ECMAScript 6 新增的语法特性。
opendigg/awesome-github-vue
Vue相关开源项目库汇总
yisainan/web-interview
我是齐丶先丶森,收集整理全网面试题及面试技巧,旨在帮助前端工程师们找到一份好工作!更多详见公众号「前端面试秘籍」
Binaryify/NeteaseCloudMusicApi
网易云音乐 Node.js API service
PacktPublishing/Learning-JavaScript-Data-Structures-and-Algorithms-Third-Edition
Learning JavaScript Data Structures and Algorithms (Third Edition), published by Packt
hindupuravinash/the-gan-zoo
A list of all named GANs!
ameliacode/Fine-Art-Virtual-Exhibition
🔚 2019-2 ES-Capstone design project
diging/virtual-spaces-2.0
Software application to build virtual exhibitions
GruppoMeta/Movio
MOVIO - Online Virtual Exhibitions
PetalsOnaWet/lizhi
李志所有歌曲下载地址 Li Zhi all songs download address
ZiweiWangTHU/BiDet
This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.
eric612/MobileNet-YOLO
A caffe implementation of MobileNet-YOLO detection network
yjh0410/yolov2-yolov3_PyTorch
Zzh-tju/DIoU
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)
bubbliiiing/yolov4-pytorch
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
gengyanlei/fire-smoke-detect-yolov4
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
tobybreckon/fire-detection-cnn
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
anerisheth19/CNN-MobileNet-V1-implementation-on-AWS-FPGA-using-OpenCL
Increasing the accuracy of Convolutional Neural Networks (CNNs) has become a recent research focus in computer vision applications. Smaller CNN architectures like SqueezeNet and MobileNet can demonstrate accelerated performance on FPGAs and GPUs due to smaller model size and fewer network parameters. Implementation of CNNs on accelerators have two important benefits - GPUs provide thread-level parallelism to achieve higher throughput and FPGAs offer a customizable application-specific datapath. These two reasons make these platforms better suited for convolution like operations which involve huge data. This project aims to implement one such CNN architecture, MobileNet on an Image dataset in OpenCL, thereby comparing kernel execution time and memory bandwidth usage on FPGA and GPU
bubblebeam/Inferno-Realtime-Fire-detection-using-CNNs
FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks
xbdxwyh/yolov3_fpga_project
arcthur/react-book-examples
深入 React 技术栈一书中示例
LorinHan/flvjs_test
采用flvjs实现摄像头直播
UCLA-VAST/AutoSA
AutoSA: Polyhedral-Based Systolic Array Compiler
antonpaquin/SystolicArrayDemo
Python code to show how a systolic array works. Written for https://medium.com/@antonpaquin/whats-inside-a-tpu-c013eb51973e
Sibylau/HLS_designs
Systolic array implementations for Cholesky, LU, and QR decomposition
DPCEKY/systolic-array
HLS implemented systolic array structure
spcl/gemm_hls
Scalable systolic array-based matrix-matrix multiplication implemented in Vivado HLS for Xilinx FPGAs.
lshiwjx/2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
prabhuomkar/pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone