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.

Swiss-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

Python library for handling audio datasets.

A better way to work 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)

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

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.

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

PyTorch library for Active Fine-Tuning

Cross service dependencies for GraphQL API with underlying @imqueue services

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

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!

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.

Implementation for Video Frame Interpolation Via Down-Up Scale Generative Adversarial Networks (2022).