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sst

SST: Single-Stream Temporal Action Proposal

sstd

🔥 Single Shot Text Detector with Regional Attention

st-gcn

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

stabilizing_gans

Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"

stackeddebert

Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)

stackedit

In-browser Markdown editor

stackgan

stackgan-inception-model

stackgan-pytorch

stackgan-v2

stacklstmconstituentparser

stacknn

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

stair-actions

Large Scale Video Dataset for Action Recognition

stamp

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

stance-detection

LSTM, biconditional, soft attention LSTM/GRU encoders for SemEval 2016 stance detection task

stance_detection

Stance Detection for the Fake News Challenge with Conditional Encoding and Attention LSTM, as Stanford CS224N class project by Stephen Pfohl, Oskar Triebe and Ferdinand Legros.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stanford-ctc

Neural net code for lexicon-free speech recognition with connectionist temporal classification

stanford-parser-server

Simple server for stanford parser

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

stanford_dl_ex

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

stargan

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Tranlsation (PyTorch Implemenation)

stargraph

StarGraph (aka *graph) is a graph database to query large Knowledge Graphs. Playing with Knowledge Graphs can be useful if you are developing AI applications or doing data analysis over complex domains.

starmap

StarMap for Category-Agnostic Keypoint and Viewpoint Estimation

starspace

Learning embeddings for classification, retrieval and ranking.

startrader

This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.

stat-nlp-book

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

stat212b

Topics Course on Deep Learning UC Berkeley