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pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

pytorch_c3d_feature_extractor

Pytorch C3D feature extractor

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

rcnn-depth

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

recurrent-spatial-transformer-code

Code for Recurrent Spatial Transformer Networks

relativistic-f-divergences

Code from paper "On Relativistic f-divergences" (http://arxiv.org/abs/1901.02474)

relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

rewriting

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.

rn

Region Normalization for Image Inpainting, accepted by AAAI-2020

sdgan

Implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"

selfsupervisedlearning-dsm

code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“

sentence-vae

PyTorch Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

seq2seq

Implementation of Sequence to Sequence Learning with Neural Networks by Sutskever et al.

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

sequentialdata-gan

Tensorflow Implementation of GAN modeling for sequential data

simsiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

sketch-rnn-datasets

optional extra vector image datasets for sketch-rnn

sketch-specific-data-augmentation

Implementation of sketch-specific data augmentation strategies proposed in 'Sketch-a-Net: A Deep Neural Network that Beats Humans'

sketchyscene

SketchyScene: Richly-Annotated Scene Sketches. (ECCV 2018)

sngan_projection

GANs with spectral normalization and projection discriminator

spatial-transformer-gan

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing (CVPR 2018)

spatial_transformer_network

Tensorflow Implementation of Spatial Transformer Networks

ssim-loss-tensroflow

Structural similarity (SSIM) loss calculation via tensorflow

sst

SST: Single-Stream Temporal Action Proposal

sst-tensorflow

Tensorflow Implementation of the Paper "SST: Single-Stream Temporal Action Proposals" in CVPR 2017.

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stackgan

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

state-of-the-art-result-for-machine-learning-problems

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.