Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CPU and GPU-accelerated Machine Learning Library.
BigModel provides machine-learning models, research, training resources, or evaluation tools.
Blackbox AI provides machine-learning models, research, training resources, or evaluation tools.
Bodywork is a command line tool that deploys machine learning pipelines to Kubernetes, handling containers and orchestration. Any pipeline stage runs either a batch job or a long-running process. It is presented as a lightweight alternative to Kubeflow or building a platform around workflow tools such as Apache Airflow, Argo Workflows or Dagster. Stages are defined as Python modules or Jupyter notebooks and configured in a single bodywork.yaml file.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Cal.ai provides machine-learning models, research, training resources, or evaluation tools.
Candle is a minimalist machine learning framework for Rust with a focus on performance, including GPU support, and ease of use. It provides examples and online browser demos for models such as whisper, LLaMA2, T5, yolo and Segment Anything.
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ChessArena provides machine-learning models, research, training resources, or evaluation tools.
Open-source Python library for data-centric AI that helps clean data and labels by automatically detecting issues in machine learning datasets. It uses existing models to estimate dataset problems that can be fixed to train better models. It runs on Python 3.10+ and works with any model across classification, regression, segmentation and object detection tasks.
climin is a Python package for optimization that is heavily biased toward machine learning scenarios, distributed under the BSD 3-clause license. It works on top of numpy and partially gnumpy, and was started in winter 2011 by Christian Osendorfer and Justin Bayer.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Colab demo provides machine-learning models, research, training resources, or evaluation tools.
The ColabFit Exchange is a hub for discovering, exploring and submitting datasets for developing machine learning interatomic potentials for materials science and chemistry. Datasets are vetted and cleaned and offered in standard formats including LMDB, Parquet and xyz. Its content is open source and freely available.