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sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

speech-language-processing

A curated list of speech and natural language processing resources

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMind's WaveNet and tensorflow

speech-tranformer-pytorch

Seq2Seq Speech Recognition with Transformer on Mandarin Chinese

speech-transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

speech-transformer-1

PyTorch re-implementation of Speech-Transformer

speedyspeech

sphere

Web-scale retrieval for knowledge-intensive NLP

split_merge_table_recognition

An implementation of the Splitting and Merging table recognition method.

spn.pytorch

PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

squbs

Akka/Spray for Large-Scale Production Deployments

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

srnet

A tensorflow reproducing of paper “Editing Text in the wild”

srnet-1

A pytorch implementation of the SRNet architecture from the paper Editing text in the wild (Liang Wu et al.)

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

ssd-plate_detection

SSD-based plate detection

ssd_scene-text-detection

Detect text in natural images with SSD, Single Shot Detection

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

ssh

SSH: Single Stage Headless Face Detector

sstd

🔥 Single Shot Text Detector with Regional Attention

sstdnet

Implement 'Single Shot Text Detector with Regional Attention, ICCV 2017 Spotlight'

st-gcn

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

stack-rnn

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stark

[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking

starocr

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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.