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PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Pytorch C3D feature extractor
Documentation on how to access and use the Quick, Draw! Dataset.
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Code for Recurrent Spatial Transformer Networks
Code from paper "On Relativistic f-divergences" (http://arxiv.org/abs/1901.02474)
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.
Region Normalization for Image Inpainting, accepted by AAAI-2020
Implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“
PyTorch Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Implementation of Sequence to Sequence Learning with Neural Networks by Sutskever et al.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Tensorflow Implementation of GAN modeling for sequential data
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
optional extra vector image datasets for sketch-rnn
Implementation of sketch-specific data augmentation strategies proposed in 'Sketch-a-Net: A Deep Neural Network that Beats Humans'
SketchyScene: Richly-Annotated Scene Sketches. (ECCV 2018)
GANs with spectral normalization and projection discriminator
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing (CVPR 2018)
Tensorflow Implementation of Spatial Transformer Networks
Structural similarity (SSIM) loss calculation via tensorflow
SST: Single-Stream Temporal Action Proposal
Tensorflow Implementation of the Paper "SST: Single-Stream Temporal Action Proposals" in CVPR 2017.
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
StarGAN - Official PyTorch Implementation (CVPR 2018)
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
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🖖 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.