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Name: AcodeC
Type: User
Company: Zhejiang University
Location: HangZhou
Name: AcodeC
Type: User
Company: Zhejiang University
Location: HangZhou
PyTorch code for: Learning to Generate Grounded Visual Captions without Localization Supervision
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
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15个章节,近20万字。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[email protected] 版权所有,违权必究 Tan 2018.06
Deliberate Attention Networks for Image Captioning (AAAI 2019)
Evaluation code for Dense-Captioning Events in Videos
Official Tensorflow Implementation of the paper "Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning" in CVPR 2018, with code, model and prediction results.
Domain specific semantics guided video captioning
Code for paper "Event-centric hierarchical representation for dense video captioning" (TCSVT2020)
PyTorch tutorials and best practices.
Shadowsocksr client using electron
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Extract video feature from C3D pretrained on Sports-1M and Kinetics
Code used to extract 2d and 3d CNN features
Repo for our ICCV 19 paper: "Compact Trilinear Interaction for Visual Question Answering"
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
Kinetics dataset downloader
Learn Python 3 Sample Code
:pencil2: 算法相关知识储备 LeetCode with Python :books:
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
Here we describe a new approach to train a video captioning neural network , that is not only based on the normal cross entropy loss for the caption but also uses the meaning of the caption.
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
Natural Language Processing
YSDA course in Natural Language Processing
Research Notes
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.