Optimize Scheduler performance for large datasets.
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Updated
Sep 7, 2023 - C#
Optimize Scheduler performance for large datasets.
A Python package for working with GEC data in .m2 files
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An interactive platform for collecting user reviews of different art forms, categorising them into "Books", "Movies" and "Music" and calculating an average rating for each artwork based on user reviews, powered by Django and DjangoRestFramework.
This repository contains the sample which showcases how to populate the accordion items using bindable layout
Cassandra plugin for NVIDIA DALI
An experimental React suspense and concurrent mode compatible data loading library
👨💼 Personal resume
Fast TFRecord Reader powered by io-uring.
This tool rapidly converts loose files scattered within any folder into a consolidated H5 file. This allows for faster read operations with lower memory requirement.
ColumnCore is a high-performance analytical database system designed for beginners or small projects. It supports a rich SQL dialect, runs within the same process as the application, has a vectorized query execution engine, and uses a columnar storage format.
a website to order pizza and track your orders using React, React router, Tailwind and Redux
`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.
challenges : (React Router data loading, Redux, Redux Toolkit, thunks, Tailwind CSS)
Streamline your data flow with AWS Data Pipelining - a reliable and scalable solution for seamless data ingestion, processing, and storage
Homeworks and R projects for the course Foundations of Data Science
A Python-based, automates data extraction, transformation, and loading. It focuses ETL pipelines, web scrapping and MySQL database, leveraging Python libraries for processing and MySQL for storage.
An experiment sandbox for Deep Learning Data Loading analysis.
ETL building for an e-commerce Jeans company. Feel free to access the Streamlit App in the link below.
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