Use PyTorch style dataloaders with other deep learning frameworks
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Updated
Mar 27, 2018 - Python
Use PyTorch style dataloaders with other deep learning frameworks
Small tool for aggregating and grouping data. Written in Python, mimicking functionality of my older C++ data-explorer project. Created to refresh Python skills, have some fun and compare speed of C++/Go/Python versions.
This repository is all about loading Historical market data of Indian capital markets, finding edge in the data, devising strategies around it and automating the execution of those strategies
This small library is a Java 11 port of GraphQL DataLoader
The video loader backend for "trending!" 🏭
Cross service dependencies for GraphQL API with underlying @imqueue services
PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)
Deduping data loader for fetching relationships
Implementation for Video Frame Interpolation Via Down-Up Scale Generative Adversarial Networks (2022).
[READ ONLY] Data Loader Security bundle of Klipper
DEPRECATED. Server application providing the functionality for capturing and indexing product metadata into the PDS Registry system (https://github.com/NASA-PDS/registry). Different from the standalone Harvest Tool, this goes along with Crawler and Harvest Client to enable performant ingestion.
Chat web application with Nodejs, Graphql and React.
Data loader for the MVTec dataset, a comprehensive real-world dataset for Unsupervised Anomaly Detection
Library containing some helper methods for GraphQL apis. Includes data-loaders and (cursor based) pagination helper methods.
PyTorch dataset loader for exported Supervisely annotation format, including an example usage tutorial training Faster-RCNN.
Python service : insert data from a directory inside postgres db or inside elastic.
to hammer-in data load on different services
`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.
Universal-EDA: Simplify Exploratory Data Analysis with versatile data loading & analysis tools for various datasets & CSVs.
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