A data orchestrator for machine learning, analytics, and ETL.
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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Free 3-month individual subscription to learn data science and AI skills.
Dataframes for machine-learning and statistics (similar to pandas).
LinkedIn's generalized metadata search & discovery tool.
Platform democratizing access to data and enabling enterprises to build their own path to AI.
Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.
Database client with AI-powered query assistance to generate context based queries.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
Private AI for Mac that redacts sensitive data before any cloud call. Built for lawyers, consultants & accountants. Run fully offline.
Machine learning development environment for data science and AI/ML engineering teams.
All-in-one platform to create vertical AI agents powered by your private data and knowledge.
10x faster, cheaper, and better vector database.
Visualizations for understanding and analyzing machine learning datasets.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Supports teaching, studying or skills practice with AI-guided learning tools.
FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
A scalable general purpose micro-framework for defining dataflows.
Hugging Face supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.