Sirwenhao

Sirwenhao's Stars

• yzhu798/CodingInterviewsNotes

  涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

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• gatieme/CodingInterviews

  剑指Offer——名企面试官精讲典型编程题

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• HIT-Alibaba/interview

  笔试面试知识整理

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• rongweihe/CPPNotes

  【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

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• QL-Win/QuickLook

  Bring macOS “Quick Look” feature to Windows

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• iamdin/KeyFramesExtraction

  Frames Extraction With OpenCV and Python

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• amanwalia123/KeyFramesExtraction

  This repository contains script to divide a video into key frames.

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• opconty/pytorch_ctpn

  This is a pytorch implementation of CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network). You may want to finetune from: https://drive.google.com/open?id=1JHhI4sEIXfs5gDa1I9AgJBY477HTzAd0

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• mzolfaghari/ECO-pytorch

  PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

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• mzolfaghari/ECO-efficient-video-understanding

  Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

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• chihyaoma/Activity-Recognition-with-CNN-and-RNN

  Temporal Segments LSTM and Temporal-Inception for Activity Recognition

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• jeffreyyihuang/two-stream-action-recognition

  Using two stream architecture to implement a classic action recognition method on UCF101 dataset

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• bryanyzhu/two-stream-pytorch

  PyTorch implementation of two-stream networks for video action recognition

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• yjxiong/caffe

  A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

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• soulmachine/leetcode

  LeetCode题解，151道题完整版。

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• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

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• QSCTech/zju-icicles

  浙江大学课程攻略共享计划

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• PKUanonym/REKCARC-TSC-UHT

  清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

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• pramitmazumdar/RM3VQA

  A No Reference Deep Learning based Model for Quality Assessment of UGC Videos

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• SimilarityGuidedSampling/Similarity-Guided-Sampling

  [CVPR 2021] 3D CNNs with Adaptive Temporal Feature Resolutions https://arxiv.org/abs/2011.08652

  Language:Python263

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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• waleedka/hiddenlayer

  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

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• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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• tensorspace-team/tensorspace

  Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

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• laurent22/joplin

  Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.

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• hobincar/SA-LSTM

  A Pytorch implementation of "describing videos by exploiting temporal structure", ICCV 2015

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• yaoli/arctic-capgen-vid

  automatic video description generation with GPU training

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• wanglimin/ARTNet

  Appearance-and-Relation Networks

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• HuangCongQing/UCAS_Course_2019

  **科学院大学2019-2020课程（秋季，春季，夏季）

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• stootaghaj/Demi

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