Reverse Dependencies of torchdata

The following projects have a declared dependency on torchdata:

• accelerate — Accelerate
• aistore — A (growing) set of client-side APIs to access and utilize clusters, buckets, and objects on AIStore.
• atmodata — A collection of high performant data loading tools for spatio-temporal ML based on torchdata
• atomate2 — atomate2 is a library of materials science workflows
• autoplex — Automated machine-learned Potential Landscape explorer
• cellxgene-census — API to facilitate the use of the CZ CELLxGENE Discover Census. For more information about the API and the project visit https://github.com/chanzuckerberg/cellxgene-census/
• clip-text-decoder — Generate text captions for images from their CLIP embeddings.
• datasets — HuggingFace community-driven open-source library of datasets
• datasets-fast — Optimisations for HuggingFace Datasets with array features
• dgl — Deep Graph Library
• fastrl — fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.
• flexible-fl — no summary
• flexnlp — no summary
• gcp-io — A package to return files stored in Google drive and Google Cloud Storage as a torch.utils.Dataset that can be used with the torch dataloaders.
• giotto-deep — Toolbox for Deep Learning and Topological Data Analysis.
• grappa-ff — no summary
• gravitorchdata — Plugin to use torchdata with gravitorch
• hierarchical-attention-networks — An implementation of Hierarchical Attention Networks for Document Classification
• hscitorchutil — HSCI research group utilities for pytorch (lightning)
• instate — Instate: predict the state of residence from last name
• janus-core — Tools for machine learnt interatomic potentials
• lbster — Language models for Biological Sequence Transformation and Evolutionary Representation.
• luis-v-subtitler — A Python package to use AI to subtitle any video in any language
• matgl — MatGL is a framework for graph deep learning for materials science.
• mlcroissant — MLCommons datasets format.
• modlee — modlee package
• openpom — Open-source Principal Odor Map models for Olfaction
• pyclustkit — A Python library for clustering operations. Evaluation and meta-feature generation.
• pygip — pygip
• rhizonet-package — Python package for RhizoNet-package
• rnaglib — RNAglib: Tools for learning on the structure of RNA using 2.5D geometric representations
• scdataloader — a dataloader for single cell data in lamindb
• scprint — scPRINT is a Large Cell Model for Gene Network Inference, Denoising and more from scRNAseq data
• simpler-flash — a simpler version of flashattention
• slg-nimrod — minimal deep learning framework
• smashed — SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.
• snowflake-ml-python — The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.
• sweet-pipes — project_description
• tiledb-ml — Package supports all machine learning functionality for TileDB Embedded and TileDB Cloud
• tinybig — tinybig library for deep function learning
• tuned-lens — Tools for understanding how transformer predictions are built layer-by-layer
• unicore — UniCore: Unified Perception Core Library
• unipercept — UniPecept: A unified framework for perception tasks focusing on research applications that require a high degree of flexibility and customization.
• video2dataset — Easily create large video dataset from video urls
• wcfutils — Handy utils written by
• yet-another-retnet — yet-another-retnet
• zen3geo — The 🌏 data science library you've been waiting for~