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.
LLM Explorer provides machine-learning models, research, training resources, or evaluation tools.
AI Animal Explorer is an Omniverse extension that enables creators to quickly prototype unique 3D animal meshes.
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.
Explore the Linux kernel source code with AI-generated summaries.
An open source tool for running arbitrary queries against public data from the Stack Exchange network.
SQL/NoSQL/Graph/Cache/Object data explorer with AI-powered chat + other useful features.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A CLI utility to train and deploy ML/DL models on AWS SageMaker.