mlcommons / croissantLinks
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
β768Updated last week
Alternatives and similar repositories for croissant
Users that are interested in croissant are comparing it to the libraries listed below
Sorting:
- Speed up model training by fixing data loading.β565Updated last week
- Explore and interpret large embeddings in your browser with interactive visualization! πβ508Updated 4 months ago
- β259Updated last month
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ504Updated this week
- Inspect: A framework for large language model evaluationsβ1,580Updated this week
- The Foundation Model Transparency Indexβ83Updated last week
- Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.β1,029Updated last week
- Synthetic Data SDK β¨β691Updated this week
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.β565Updated last year
- A lightweight, local-first, and π experiment tracking library from Hugging Face π€β1,152Updated this week
- Creating beautiful plots of data mapsβ961Updated last week
- Create powerful Hydra applications without the yaml files and boilerplate code.β436Updated last week
- ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the resultβ¦β247Updated last year
- Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.β91Updated last week
- Toolkit for attaching, training, saving and loading of new heads for transformer modelsβ293Updated 9 months ago
- A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management πβ153Updated last year
- A Simple Bulk Labelling Toolβ598Updated 4 months ago
- A visual labeling system implemented in Jupyter widgets.β155Updated last year
- Stanford NLP Python library for understanding and improving PyTorch models via interventionsβ838Updated 2 months ago
- Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.β634Updated 2 months ago
- A JAX research toolkit for building, editing, and visualizing neural networks.β1,830Updated 5 months ago
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluβ¦β196Updated 4 months ago
- An interactive HTML pretty-printer for machine learning research in IPython notebooks.β454Updated 4 months ago
- The robust European language model benchmark.β145Updated this week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to sβ¦β730Updated last week
- AI Data Management & Evaluation Platformβ216Updated 2 years ago
- Python package for graph statisticsβ960Updated 3 weeks ago
- just a bunch of useful embeddings for scikit-learn pipelinesβ520Updated 2 months ago
- Scalable and Performant Data Loadingβ352Updated this week
- Late Interaction Models Training & Retrievalβ670Updated this week