Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
Autograd and XLA for high-performance machine learning research.
A python library for doing approximate and phonetic matching of strings.
A project to make it easier to use large external knowledge bases with LLMs.
Chinese Words Segmentation Utilities.
Chinese Words Segmentation Utilities.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Jupyter notebook is a web-based notebook environment for interactive computing.
A collection of pre-trained StyleGAN 2 models to download.
Code for the Kaggle acquire valued shoppers challenge.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Winning solution for the Galaxy Challenge on Kaggle.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Easy-to-use, scalable hyperparameter optimization framework.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.