rosvodiz's Stars
Songweiping/TCN-TF
TensorFlow Implementation of TCN (Temporal Convolutional Networks)
DasyDong/developer-roadmap
developer-roadmap
piskvorky/gensim
Topic Modelling for Humans
bguillouet/destination_prediction
Python code to re-produce results and illustrations of destination prediction by trajectory distribution based model.
adbrebs/taxi
Winning entry to the Kaggle taxi competition
StephenZheng0315/PM2.5-Prediction-Based-on-Random-Forest-Algorithm
dangrossman/daterangepicker
JavaScript Date Range, Date and Time Picker Component
xuerenlv/social-lstm-tf
Tensorflow implementation of the Social LSTM model
shenzhanwang/SSM
Spring boot整合mybatis实现增删改查
Veal98/cs-wiki
📙 致力打造完善的后端知识体系. Not only an Interview-Guide, but also a Learning-Direction.
ryokamoi/dcnn_textvae
TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"
cloversjtu/dir-vhred
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in dialogue generation(EMNLP2019)
jxnl/dirichlet-vae
investigating use of variational auto encoders with multinomial latent variables for unsupervised data.
arfc/elsevier-journal-article-template
A template repository for Elsevier journal articles.
deepcharles/ruptures
ruptures: change point detection in Python
hildensia/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
GXYM/GHM_Loss
The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).
ulfaslak/infostop
Python package for detecting stops in trajectory data
Zen-CODE/kivybits
Kivy bits and pieces
Dirk-Sandberg/FarmersMarketFinderTutorial
Python/KivyMD mobile app with video tutorial series
kivy/plyer
Plyer is a platform-independent Python wrapper for platform-dependent APIs
zou-Jack/-SSM-Commodity_system
涉及到SSM框架整合+前端框Bootstrap+Ajax校验+登录拦截器+图片文件上传+日期类型转换器+json格式传参等常用功能的使用。
zou-Jack/examination_system-
基于SSM+Bootstrap的教务查询系统,是一个简单的教务查询系统,起初用于熟悉SSM的整合开发,使用技术 IOC容器:Spring Web框架:SpringMVC ORM框架:Mybatis 数据源:C3P0 日志:log4j 前端框架:Bootstrap 运行环境 jdk8+tomcat8+mysql+Eclipse+maven 项目技术(必填) spring+spring mvc+mybatis+bootstrap+jquery,系统是IDEA开发,也可修改为eclipse版本。欢迎下载。
saemundsson/semisupervised_vae
Replication of Semi-Supervised Learning with Deep Generative Models
titu1994/LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
sinadabiri/Deep-Semi-Supervised-GPS-Transport-Mode
ICRAR/ijson
Iterative JSON parser with Pythonic interfaces
rtobar/ijson
Iterative JSON parser with Pythonic interface
isagalaev/ijson
Iterative JSON parser with Pythonic interface
lusccc/Trajectory-Classification-using-Dual-CSA
Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information