shaginhekvs

Pinned Repositories

ada_course
The repository containing everything programmed for ADA course at EPFL Fall 2017-18
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anatomy-hashtags
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ANNproject
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CodingPractice
contains information about coding that I remember and use
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Competitive_Coding
assortment of problems solved by me
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CS422-Project1
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CS422-Project2-Private
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darts
A python library for easy manipulation and forecasting of time series.
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DataViz
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DataViz-1
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shaginhekvs's Repositories

shaginhekvs/darts
A python library for easy manipulation and forecasting of time series.
shaginhekvs/Graph-Transformer
Transformer for Graph Classification (in Pytorch and Tensorflow)
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shaginhekvs/starter_mod
udacity Data Streaming project 1
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shaginhekvs/CodingPractice
contains information about coding that I remember and use
Language:Python
shaginhekvs/incremental_training
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
shaginhekvs/hackerRankProblems
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shaginhekvs/ANNproject
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shaginhekvs/CS422-Project1
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shaginhekvs/shaginhekvs.github.io
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shaginhekvs/ISP_homeworks
homeworks for COM 402 ISP ( Information Security and Privacy ) course at EPFL
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shaginhekvs/CS422-Project2-Private
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shaginhekvs/yevgeniy-brikman-homepage
The Yevgeniy Brikman Home Page
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shaginhekvs/USSenate-dataViz
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shaginhekvs/ML_project2
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shaginhekvs/DataViz
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shaginhekvs/koby
FinHack
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shaginhekvs/QuantAndFinancial
Quantitative & Financial
Language:Jupyter Notebook
shaginhekvs/DataViz-1
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shaginhekvs/twitter_sentiments
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shaginhekvs/ada_course
The repository containing everything programmed for ADA course at EPFL Fall 2017-18
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shaginhekvs/website
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shaginhekvs/anatomy-hashtags
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shaginhekvs/feeling-responsive
»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.
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shaginhekvs/test_jekyll
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shaginhekvs/Competitive_Coding
assortment of problems solved by me
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shaginhekvs/ML_course
EPFL Machine Learning Course, Fall 2017
Language:Jupyter Notebook
shaginhekvs/tensorflow
Computation using data flow graphs for scalable machine learning
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shaginhekvs/just_testing
just for testing how life works here