yxwasl

yxwasl's Stars

• FFmpeg/FFmpeg

  Mirror of https://git.ffmpeg.org/ffmpeg.git

  Language:C48.5k1.5k012.5k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++33.7k4802.6k3.8k

• kodecocodes/swift-algorithm-club

  Algorithms and data structures in Swift, with explanations!

  Language:Swift29k1.5k2155k

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C26.1k9102.4k21.3k

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C22k4838.3k8k

• Tencent/TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

  Language:C++4.5k89954770

• ZachL1/Bilibili-plus

  课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

  Language:C++4k42131k

• qixianyu-buaa/EigenChineseDocument

  This is my translation of Chinese document of Eigen

  Language:C++904242198

• wenxinxu/resnet-in-tensorflow

  Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

  Language:Python8282338276

• BIGBALLON/cifar-10-cnn

  Play deep learning with CIFAR datasets

  Language:Python8272918290

• guosheng/refinenet

  RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

  Language:MATLAB593500158

• seldridge/verilog

  Repository for basic (and not so basic) Verilog blocks with high re-use potential

  Language:Verilog563533140

• Relja/netvlad

  NetVLAD: CNN architecture for weakly supervised place recognition

  Language:Matlab5562557121

• CodeSama346623/Bilibili346623

  Examples shown in Bilibili Live 346623

  Language:Jupyter Notebook465434617

• Nanne/pytorch-NetVlad

  Pytorch implementation of NetVlad including training on Pittsburgh.

  Language:Python448788110

• andyRon/swift-algorithm-club-cn

  swift-algorithm-club的翻译。使用Swift学习算法和数据结构。

  Language:Swift41419569

• itijyou/ademxapp

  Code for https://arxiv.org/abs/1611.10080

  Language:Python340225298

• antoine77340/LOUPE

  Tensorflow toolbox implementing several learnable pooling architecture

  Language:Python30511581

• Hardy-Uint/awesome-Autopilot-algorithm

  some algorithm about self-driving car，mainly including perception algorithm，2D/3D object detection，Semantic segmentation and so on

  1698039

• abhijeet3922/Change-Detection-in-Satellite-Imagery

  It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

  Language:Python16112467

• mortcanty/CRCPython

  Image Analysis, Classification and Change Detection in Remote Sensing

  Language:Python15624491

• yhlleo/tensorflow.cifar10

  The examples of image recognition with the dataset CIFAR10 via tensorflow.

  Language:Python130115123

• rulixiang/ChangeDetectionPCAKmeans

  MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

  Language:MATLAB773022

• victorpoughon/SAR-change-detection

  Change detection in polarimetric SAR images in Python

  Language:Python607033

• rsnikhil/RISCV_Piccolo_v1

  Implementation of RISC-V RV32IM. Simple in-order 3-stage pipeline. Low resources (e.g., FPGA softcore).

  Language:Verilog331116

• dsqx71/Change-Detection-in-Remote-Sensing-Images

  Language:Python224211

• ekoshelev/REU-AcceleratedChangeDetectioninSARImages

  In this NSF funded Research Experience Undergraduates (REU) project, we develop and implement deep neural network algorithms for change detection of synthetic aperture radar (SAR) images. If you use our work, please cite our paper as a reference.

  Language:MATLAB200216

• dwaipayanBiswas/ECG-feature-extraction-using-DWT

  Haar wavelet based Discrete wavelet transform for ECG feature extraction in Verilog

  Language:Verilog19105

• alec-ng/fully-convolutional-network-semantic-segmentation

  Implementation of the paper Fully Convolutional Networks for Semantic Segmentation, used to segment a person from a background in an RGB image

  Language:Python16308

• Relja/relja_matlab

  Miscellaneous utilities

  Language:MATLAB11115