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spark-ml-randomforest-creditrisk

spark-summit-2017-sanfrancisco

spark summit 2017 SanFrancisco

sparkmllibdeeplearn

SparkMLlibDeepLearn深度学习

speed-accuracy-trade-offs-for-modern-convolutional-object-detectors

The purpose of this project is to reimplement the following paper: https://arxiv.org/pdf/1611.10012.pdf using tensorflow

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

sphereface-1

Implementation of Sphere Face loss function

sphereface-model

This is the pre-trained model of SphereFace : Deep Hypersphere Embedding for Face Recognition

sphereface_pytorch

A PyTorch Implementation of SphereFace.

spherereid

My implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification

spring-boot

Spring Boot

spring-boot-starter

MyBatis integration with Spring Boot

spring-cloud-aws

Integration for Amazon Web Services APIs with Spring

springboot-learning

Spring Boot教程

squeezedet

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

srn

Selective Refinement Network for High Performance Face Detection, AAAI, 2019

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

ssd-plate_detection

SSD-based plate detection

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd_deepsort_tf

Using the detection results from SSD as the inputs of deepSort to track persons

ssd_sort

Multi-person tracking with SSD and Sort

ssdh_tcsvt2017

Source code of our TCSVT 2017 paper "SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval"

ssh

SSH: Single Stage Headless Face Detector

ssh-tensorflow

TensorFlow implementation of SSH: Single Stage Headless Face Detector

ssn_superpixels

Superpixel Sampling Networks (ECCV2018)

stackedit

In-browser markdown editor

stanford_dl_ex

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

stanforddoggoproject

Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!

stock_market_reinforcement_learning

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

stocktalk

Data collection toolkit for social media analytics