dataset-viewer VS datasets

Compare dataset-viewer vs datasets and see what are their differences.

dataset-viewer

Lightweight web API for visualizing and exploring any dataset - computer vision, speech, text, and tabular - stored on the Hugging Face Hub (by huggingface)

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ... (by tensorflow)
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dataset-viewer datasets
6 5
622 4,192
4.0% 1.1%
9.8 9.4
1 day ago 7 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dataset-viewer

Posts with mentions or reviews of dataset-viewer. We have used some of these posts to build our list of alternatives and similar projects.

datasets

Posts with mentions or reviews of datasets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-21.
  • TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
    1 project | /r/hypeurls | 21 Dec 2022
    3 projects | news.ycombinator.com | 21 Dec 2022
    I tried Librispeech, a very common dataset for speech recognition, in both HF and TFDS.

    TFDS performed extremely bad.

    First it failed because the official hosting server only allows 5 simultaneous connections, and TFDS totally ignored that and makes up to 50 simultaneous downloads and that breaks. I wonder if anyone actually tested this?

    Then you need to have some computer with 30GB to do the preparation, which might fail on your computer. This is where I stopped. https://github.com/tensorflow/datasets/issues/3887. It might be fixed now but it took them 8 months to respond to my issue.

    On HF, it just worked. There was a smaller issue in how the dataset was split up but that is fixed now, and their response was very fast and great.

  • We built a pi controlled hydroponics box that grows your plants 1.5x faster using ML
    1 project | /r/raspberry_pi | 26 Apr 2021
    but it looks like none of your plants are supported by the plantvillage model, or do I understand something wrong? https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/plant_village.py#L57
  • Voice Recognition with Tensorflow
    3 projects | dev.to | 4 Mar 2021
    To do our example, we're going to use some audio files released by Google.

What are some alternatives?

When comparing dataset-viewer and datasets you can also consider the following projects:

aphrodite-engine - PygmalionAI's large-scale inference engine

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

flax - Flax is a neural network library for JAX that is designed for flexibility.

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

jax-models - Unofficial JAX implementations of deep learning research papers

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.

tasksource - Datasets collection and preprocessings framework for NLP extreme multitask learning

trax - Trax — Deep Learning with Clear Code and Speed

jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.

ESC-50 - ESC-50: Dataset for Environmental Sound Classification