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sequence_gan

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

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

sequential-imagenet-dataloader

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

sequicity

Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures" by Wenqiang Lei et al.

seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

serpentai

Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA

sesr

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

session-based-recsys

Tutorials on session-based recommender systems

set_transformer

Pytorch implementation of set transformer

setrank

Implementation of SetRank in SIGIR 2020

seya

Bringing up some extra Cosmo to Keras.

sfd

S³FD: Single Shot Scale-invariant Face Detector

sfd_pytorch

A PyTorch Implementation of Single Shot Scale-invariant Face Detector.

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

sfsnet

sftrl

Code for "Sketched Follow-The-Regularized-Leader for Online Factorization Machine

sg-gan

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

sgan

Stacked Generative Adversarial Networks

sgan-1

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

sgbot

An event recommendation chatbot using reinforcement learning and LSTM

sgpn

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

sgrnn

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

shampoo.pytorch

An implementation of shampoo

shap

A unified approach to explain the output of any machine learning model

shapenet-intrinsics

shared

Code and shared files

sharkstock

POC of automating stock trading using deep reinforcement learning