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Name: tong8080
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Implementation of 'A Neural Compositional Paradigm for Image Captioning' by B. Dai, S.Fidler, D. Lin
Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Code for paper "Attention on Attention for Image Captioning". ICCV 2019
A PyTorch implementation of the Transformer model in "Attention is All You Need".
An index of algorithms for learning causality with data
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
This repo allocate DAPs code of our ECCV 2016 publication
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
The basic distribution probability Tutorial for Deep Learning Researchers
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
A faster pytorch implementation of faster r-cnn
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
A pure torch implement of FCOS 37.2AP
PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)
Models and examples built with TensorFlow
Efficient Image Captioning code in Torch, runs on GPU
Implementation of the Object Relation Transformer for Image Captioning
All Algorithms implemented in Python
PyTorch Tutorial for Deep Learning Researchers
Code for "Recurrent Independent Mechanisms"
Tensorflow implement of paper: Sequence to Sequence: Video to Text
A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 Oral paper "Unbiased Scene Graph Generation from Biased Training"
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)
Pytorch implementation of set transformer
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.