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retina-unet

Retina blood vessel segmentation with a convolutional neural network

rl_losssurface

sc-fegan

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

sea-elements-prediction-unet-based-models

segformer

Implementation of SegFormer in PyTorch

segloss

A collection of loss functions for medical image segmentation

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

self-attention-gan-tensorflow

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

sen12ms

Repository for SEN12MS related codes and utilities

senet

Squeeze-and-Excitation Networks

senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

single-underwater-image-enhancement-and-color-restoration

Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"

skc_machinetranslation

SKC_MachineTranslation 강의자료

skc_text_preprocessing

SKC 텍스트 전처리 강의

smaat-unet

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

smogn

Synthetic Minority Over-Sampling Technique for Regression

soy

spacenet7_multi-temporal_solutions

spatio-temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

spektral

Graph Neural Networks with Keras and Tensorflow 2.

spiral

A Python 3 module that provides functions for splitting identifiers found in source code files.

stable-diffusion-webui

Stable Diffusion web UI

standalone-deeplearning

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

standalone-deeplearning-chemistry

화학 분자를 딥러닝 아키텍쳐로 다루는 저장소입니다.

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stanford-solar-forecasting-dataset

Stanford sky images and PV power generation dataset for solar forecasting related research and applications

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stock-price-prediction

In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US stock market.

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.