huggingface.co
Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Helps teams build, deploy, observe or operate machine-learning systems.
github.com
A toolkit to help understand models and enable responsible machine learning.
pellaml.github.io
IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
Autograd and XLA for high-performance machine learning research.
jetnew.io
Notes on what I'm thinking about, learning, and working on.
github.com
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
github.com
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
github.com
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
github.com
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
github.com
Koç University Deep Learning Framework.
huggingface.co
Kokoro-82M supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
Deep learning framework written in Kotlin.
github.com
Machine Learning Toolkit for Kubernetes.
github.com
Machine Learning Pipelines for Kubeflow.
github.com
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
github.com
Simple, concise implementations of machine learning techniques and utilities in Clojure.
github.com
Energy-based machine learning models built upon PyTorch.
Licensing is neither feasible nor effective for addressing AI risks provides machine-learning models, research, training resources, or evaluation…
lifearchitect.ai
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
Lightly is a computer vision framework for self-supervised learning.
github.com
Explaining the predictions of any machine learning classifier.
github.com
A comprehensive toolkit to build Machine Learning applications with Rust.