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.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python materials for the online course on diffusion models by @huggingface.
Platform for deploying your Machine Learning to production.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
General Automated Machine Learning Framework.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
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.
A toolkit to help understand models and enable responsible machine learning.
IPython notebooks from Data School's video tutorials on scikit-learn.
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.
Autograd and XLA for high-performance machine learning research.
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).
Clojure wrapper for deeplearning4j with some added syntactic sugar.