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sad

Search and replace | Space Age seD

sae

Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017

saferwall

A hackable malware sandbox for the 21st Century

sane_tikz

Reconquer the canvas: beautiful Tikz figures without clunky Tikz code

scphd-camera-calibration

Camera calibration using single-cluster PHD filter in disparity space

sde

Example codes for the book Applied Stochastic Differential Equations

sec-dev-in-action-src

《白帽子安全开发实战》配套代码

secbook

信息安全从业者书单推荐

sensor-fusion

Sensor fusion and nonlinear filtering

set_functions_for_time_series

Repository of the ICML 2020 paper "Set Functions for Time Series"

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.

shadow-boundary-detection

An experiment on detection of shadow boundaries in images.

shadow-detection

This is a matlab project to detect shadow for further analysis, the regression model used is generated by CNN

shadow-detection-voc-fcn8s

shadowdetection

MATLAB implementation of our shadow detection approach, introduced in our ECCV 2010 paper.

shadowdetection_using_dtpcnn

sidetable

sidetable builds simple but useful summary tables of your data

sigdigger

Qt-based digital signal analyzer, using Suscan core and Sigutils DSP library

signal-estimation-and-processing

The purpose of the laboratory practical was to gain knowledge on the basics of MATLAB and its application to Statistical Signal Processing. The experiment was divided into two parts; the first part was on basics of MATLAB and its application to signal processing problems, the second part was on Speech processing using MATLAB. In the first chapter, after getting acquainted with basic matlab programming concepts, we proceeded to generating noise using the rand() and randn() functions. The concept of linear estimation was modelled to estimate the message in a signal corrupted by noise and the designed estimators were compared and justified to satisfy the Cramer-Rao Lower Bound theorem. In addition, a non linear estimation techniques; Least-Square criterion was developed to estimate the variables in a sum of sinusoidal signal corrupted by noise. The second chapter covered parameter estimation of an AR process. A sound signal was analyzed and a sample of the sound signal was synthesized and compared with the recorded sound signal.

sigstar

add significance stars to MATLAB plots

silent_speech

Code for the paper "Digital Voicing of Silent Speech" at EMNLP 2020

simd-math-prims

Vectorizable implementations of some mathematical functions

simpleraft

A implementation of Raft in pure Python

simpletracker

A simple particle tracking algorithm for MATLAB that can deal with gaps.

simpread

简悦 ( SimpRead ) - 让你瞬间进入沉浸式阅读的扩展

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

singlehdr

[CVPR 2020] Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

sklearn-matlab

Machine learning in Matlab using scikit-learn syntax

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch.

smfsb

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology