data-loader

Models, data loaders and abstractions for language processing, powered by PyTorch

Basic Utilities for PyTorch Natural Language Processing (NLP)

SFDMU is a cutting-edge Salesforce data migration tool for seamless org population from other orgs or CSV files. It handles all CRUD operations on multiple related objects in one go.

French-army-knife Toolbox for Salesforce. Orchestrates base commands and assist users with interactive wizards to make much more than native sfdx + Allows you to define a complete CI/CD Pipeline and Schedule a daily Metadata backup & monitoring of your orgs + Flow Visual Git Diff

Python library for handling audio datasets.

A better way to build on Salesforce

Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS)

DaLI (Data Loader Interface) is a data loader and input generator for RP2 (https://pypi.org/project/rp2), the privacy-focused, free, open-source cryptocurrency tax calculator: DaLI removes the need to manually prepare RP2 input files. Just like RP2, DaLI is also free, open-source and it prioritizes user privacy.

PyTorch DataLoader processed in multiple remote computation machines for heavy data processings

PyTorch library for Active Fine-Tuning

A higher order component for declarative data loading in React and Redux.

Benzina is an image-loader package that greatly accelerates image loading onto GPUs using their built-in hardware codecs.

PyTorch tutorial for computer vision

A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN

Cross service dependencies for GraphQL API with underlying @imqueue services

Training framework & tools for PyTorch-based machine learning projects.

Speed up the loading of your application by loading its required data in parallel to your app code!

A Python package to load complex XML files into a relational database

Library containing some helper methods for GraphQL apis. Includes data-loaders and (cursor based) pagination helper methods.

A utility for wrapping the Free Spoken Digit Dataset into PyTorch-ready data set splits.