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.
Fast and convenient feature processing for low latency machine learning in Go.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
go-ml-benchmarks is a repository of machine learning inference benchmarks for Go, focused on tabular models such as XGBoost. It compares typical implementations using different transports, encodings, preprocessing libraries and models, using the Titanic dataset. The repository was archived by the owner and is now read-only.
An open source Go transpiler for machine learning models.
Godmode provides machine-learning models, research, training resources, or evaluation tools.
Machine learning library written in pure Go.
Magenta is an open source research project exploring the role of machine learning as a tool in the creative process, focused on art and music. It includes Magenta Studio, a collection of music plugins for Ableton Live, and Magenta RealTime 2, an open model and real-time neural synthesis engine.
A high-level machine learning library in the vein of Keras.
GPT Engineer provides machine-learning models, research, training resources, or evaluation tools.
Turi Create is a toolkit that simplifies the development of custom machine learning models, offered as an archived repository. It supports tasks such as recommendations, object detection, image classification, image similarity and activity classification, and can export models to Core ML. The repository was archived by its owner on December 21, 2023, and is now read-only.
A portfolio page for Greg (Grzegorz) Surma that lists side projects related to machine learning, computer vision, self-driving cars and iOS development. It indexes apps and experiments, including AI avatars, image filters, depth estimators, a CNN explainer and games, with the tools and platforms used for each.
H2O AutoML is an open-source automatic machine learning tool developed by H2O.ai. It automatically generates features and selections for model building with no coding required. It is part of the H2O.ai platform, with offerings designed for model builders, data scientists, and enterprise developers.
Fundamentals of machine learning in python.
Weights & Biases, developer tools for machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Heroes Wear Masks provides machine-learning models, research, training resources, or evaluation tools.
HF Learn supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
How AI Fails Us Edmond & Lily Safra Center for Ethics provides machine-learning models, research, training resources, or evaluation tools.
Hugging Face provides machine-learning models, research, training resources, or evaluation tools.
A collaboration platform where the machine learning community shares models, datasets and applications. It hosts public models, datasets and Spaces, and offers an open source stack including libraries such as Transformers, Datasets and Accelerate. It also provides paid Compute and Enterprise solutions, with an Inference Providers API giving access to models from multiple AI providers.
Hunyuan provides machine-learning models, research, training resources, or evaluation tools.