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siggraph2017_inpainting

Code for the paper 'Globally and Locally Consistent Image Completion'. http://hi.cs.waseda.ac.jp/~iizuka/projects/completion/

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

smash

An experimental technique for efficiently exploring neural architectures.

smit

Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al

sota-medseg

SOTA medical image segmentation methods based on various challenges

spade

Semantic Image Synthesis with SPADE

spatial-vae

Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

ssd_keras

A Keras port of Single Shot MultiBox Detector

ssfmri2im

Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"

stackgan-v2

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

stargan

StarGAN - Official PyTorch Implementation

stargan-v2

StarGAN v2 - Official PyTorch Implementation

stargan_v2

starGAN v2 pytorch implementation

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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.

struct-attn

Code for Structured Attention Networks https://arxiv.org/abs/1702.00887

structuredattentiondepthestimation

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation in CVPR 2018

style-based-gan-pytorch

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

stylegan2

StyleGAN2 - Official TensorFlow Implementation

supervised-reptile

Reptile on supervised meta-learning datasets

surfconv

Code & data for SurfConv paper at CVPR18

switchable-normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

switchnorm_detection

The code of Switchable Normalization for object detection based on Detectron.pytorch.

taskonomy

Taskonomy: Disentangling Task Transfer Learning

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorboard

TensorFlow's Visualization Toolkit

tensorflow-deeplab-resnet

DeepLab-ResNet rebuilt in TensorFlow