Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search the directory
Search published websites, apps and repositories.
Winning solution for the Galaxy Challenge on Kaggle.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
A curated list of resources of audio-driven talking face generation.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Rendering beautiful SVG maps in Python.
Kubernetes-based system for hyperparameter tuning and neural architecture search.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
A python package that integrates an LLM copilot inside the keras model development workflow.
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.
Kernel density estimators for Julia.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.