vkthevallavan

vkthevallavan's Stars

• wardviaene/terraform-course

  Course files for my Udemy course about Terraform

  Language:HCL1.6k126244.1k

• mkyong/spring-boot

  List of Spring Boot Tutorials

  Language:Java798606943

• albertwy/BiLSTM

  Language:Python2674577

• MartinSahlen/cloud-functions-python

  Get some python in google cloud functions

  Language:Python20474129

• dansuh17/alexnet-pytorch

  Pytorch Implementation of AlexNet

  Language:Python1972158

• dgnzlz/Capstone_AWS_DeepRacer

  Code that was used in the Article "An Advanced Guide to AWS DeepRacer"

  Language:Jupyter Notebook18870148

• coreylynch/grid-lstm

  Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

  Language:Lua18716640

• aws-deepracer-community/deepracer-analysis

  A set of Jupyter notebooks to analyze the performance of a DeepRacer model.

  Language:Jupyter Notebook1671315140

• Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi

  SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

  Language:Jupyter Notebook1088331

• DawnsonLi/EVT

  使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

  Language:Python942319

• Deltares/hydromt

  HydroMT: Automated and reproducible model building and analysis

  Language:Python861157528

• sasasavic82/deepracer-reward

  AWS DeepRacer reward function

  Language:Python726031

• phvu/grid-lstm-tensorflow

  Examples of using GridLSTM (and GridRNN in general) in tensorflow

  Language:Python6312131

• royalosyin/A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python

  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.

  Language:Jupyter Notebook534233

• abbas5253/SplitNN-for-Vertically-Partitioned-Data

  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft

  Language:Jupyter Notebook28318

• limjcst/ads-evt

  Anomaly Detection in Streams with Extreme Value Theory

  Language:Python20200

• kkleidal/GridLSTM-PyTorch

  An implementation of the grid LSTM network for PyTorch

  Language:Python18413

• spmvg/evt

  Estimators and analysis for extreme value theory (EVT)

  Language:Jupyter Notebook16104

• RGGH/Sentiment-Analysis-Flask-API

  This sentiment analysis API uses Flask-restful and provides a positive or negative sentiment response to input query.

  Language:Python9007

• moravianlibrary/RecordManager2

  Správce zdrojů (record manager) je software pro pravidelné stahování a aktualizace dostupných knihovních katalogů a dalších informačních zdrojů, jejich normalizaci, identifikaci násobných bibliografických záznamů, jejich sjednocování a zpřesňování. --- Record Manager is a software for regular harvesting of library catalogues and other resources, for their de-duplication and enrichment. Written in java, to be used with vufind or similar solr-based systems.

  Language:Java41101

• hengfun/GridLSTM

  GridLSTM

  Language:Jupyter Notebook20

• iidsample/pytorch_experiments

  Language:Python1200

• run4ever/spring-boot-shop-ddd

  formation spring

  Language:Java1100