jdc08161063 Goto Github PK

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stmn

[ECCV 2018] Spatial-Temporal Memory Networks for Video Object Detection

stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

stochastic-deep-networks

Stochastic Deep Networks

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

stock-selection-a-framework

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

stock2vec

Stock embeddings based on PE context

stock_market_prediction

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stopwords

中文常用停用词表（哈工大停用词表、百度停用词表等）

streamingsgd

To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.

streampetr

This repository is an official implementation of PETR series

streamz

Playing around with building computational streams

street_to_shop_experiments

streetlearn

strike-with-a-pose

A simple GUI application for generating adversarial poses of objects.

stronger_gcn

Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"

structpool

The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields

structured-attention

textual entailment with structural attentions and composition

structurenet

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

stt-benchmark

speech-to-text benchmark framework

study-reinforcement-learning

Studying Reinforcement Learning Guide

style-based-gan-pytorch

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

style-image-prior

Official Implementation of "Style Generator Inversion for Image Enhancement and Animation".

style-swap

code for Fast Patch-based Style Transfer of Arbitrary Style

style-tranfer

Implementation of original style transfer paper (Gatys et al)

style-transfer

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

style-transfer-in-text

Paper List for Style Transfer in Text

style2paints

sketch + style = paints :art: