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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
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.
github.com
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.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Conjecture is an open-source project hosted on GitHub that provides tools for scalable machine learning using the Scalding framework. It includes tutorials for creating training data, training classifiers, and evaluating classifiers.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
The Core torch7 demos repository is an open-source GitHub project that provides demos and tutorials for the Torch7 machine learning framework. It includes installation guides, Torch7 tutorials, and tutorials for third-party Torch7 packages.
github.com
Dagster is an open source, cloud-native data pipeline orchestrator for the data development lifecycle, with integrated lineage and observability. Users declare data assets as Python functions, and Dagster runs them and keeps assets up to date. It is designed for developing and maintaining data assets such as tables, data sets, machine learning models, and reports.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
An open source machine learning framework in Rust Δ.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
dowel is a logger for machine learning research. It is installed with pip and used by importing dowel and adding outputs such as StdOutput and TensorBoardOutput, then logging messages and tabular records during training runs.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
DVClive is an open-source tool that logs and tracks machine learning metrics, parameters, and models using Git and/or DVC. It is hosted on GitHub as the repository treeverse/dvclive. It provides a simple interface for experiment tracking.
github.com
Scala Library/REPL for Machine Learning Research.