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Adversarial Autoencoders for Compact Representations of 3D Point Clouds
ActionVLAD for video action classification (CVPR 2017)
Auto-Encoding Transformations (AETv1), CVPR 2019
Multi-Person Pose Estimation System
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper
[WIP] Attention Is All You Need (Vaswani et al. 2017) by Chainer.
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
A curated list of recent models of text generation and application
A collection of AWESOME things about domian adaptation
A recurrent neural network designed to generate classical music.
最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。
Convert CIFAR-10 and CIFAR-100 datasets into PNG images
Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections
CNNGeometric PyTorch implementation
MS COCO API - http://mscoco.org/
The implementation of CVPR-17 paper "Deep Visual-Semantic Quantization of Efficient Image Retrieval"
A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)
Deep Convolutional Generative Adversarial Networks
Destruction and Construction Learning for Fine-grained Image Recognition
My own implementation on various types of deep generative models
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Official PyTorch implementation of Deformable Grid (ECCV 2020)
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after 500k iters of training)
DIRT: a fast differentiable renderer for TensorFlow
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.