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srn_multilabel

srnn

Code for "Sequential Neural Models with Stochastic Layers"

srntt

Image Super-Resolution by Neural Texture Transfer

sru

Training RNNs as Fast as CNNs

sru-1

The Statistical Recurrent Unit in Pytorch

ss-gan

Style and Structure GAN (ECCV 2016)

sscnet

Semantic Scene Completion from a Single Depth Image

ssd

High quality, fast, modular reference implementation of SSD in PyTorch 1.0

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssds_pytorch

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

sse-pt

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

ssl_detection

Semi-supervised learning for object detection

ssld-face_recognition

Robust Single Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features

ssr-net

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

st-gcn

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

stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

stable-continual-learning

Towards increasing stability of neural networks for continual learning

stable-diffusion-tensorflow

TensorFlow/Keras port of Stable Diffusion

stable-dreamfusion

A working implementation of text-to-3D dreamfusion, powered by stable diffusion.

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.

stacked_denoising_autoencoders

trying to redo the Vincent2010 paper

stackgan

stacknn

A PyTorch implementation of differentiable stacks for use in neural networks.

stanford_dl_ex

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

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

stanza

Official Stanford NLP Python Library for Many Human Languages

staple

Code for the tracker described in the CVPR16 paper "Staple: Complementary Learners for Real-Time Tracking"

staq

A full-stack quantum processing toolkit