Tableau applies AI to data analysis, extraction, visualization, or business intelligence.
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Tabnine is the AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant.
Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
Turns models into ML-friendly containers that run just about anywhere.
Open-source tool that lets you package ML models in a standard, production-ready container.
Build, packaging, and run system for ephemeral multi-container environments.
Provides containers to encapsulate and deploy EdgeML pipelines and applications.
Light-weight, universal resource scheduler for container orchestrator systems.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Library for working with tabular data in Julia.
Analyze messy Excel, CSV, PDF, and image tables with AI. Find trends, explain changes, create charts, dashboards, and reports you can review.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Modular Framework for Multi-Modal Tabular Learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
Self-hosted AI coding assistant. An opensource / on-prem alternative to GitHub Copilot.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
A dataframe grammar wrapping tech.ml.dataset, inspired by several R libraries.