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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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LinkedIn's generalized metadata search & discovery tool.
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Database client with AI-powered query assistance to generate context based queries.
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django-meta helps manage meta tags, Open Graph data, and social sharing previews for websites.
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An open-core tool to automate data and training workflows.
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) - reference implementation of a DVM (Data Vending Machine) backend
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) - A lightweight, post-only Nostr client that compresses media on your device for fast, data-efficient uploads
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Machine learning development environment for data science and AI/ML engineering teams.
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10x faster, cheaper, and better vector database.
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Visualizations for understanding and analyzing machine learning datasets.
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A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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Security research toolkit for extracting, transforming, and analyzing data during investigation workflows.
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Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
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GitHub dorking tool for searching repositories with advanced queries and sensitive-data patterns.
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Google Maps Scraper & Lead Generation Tool. Extract 50+ data points including business emails, phone numbers, and social profiles. Includes enrichment features, API access, and no recurring fees
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grab-site is an open source web scraping or crawling project for collecting website data.
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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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A scalable general purpose micro-framework for defining dataflows.
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HEAD helps manage meta tags, Open Graph data, and social sharing previews for websites.
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Simple and fast databaseless PHP blogging platform, and Flat-File CMS
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AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
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Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
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Open source MLOps project that eases model handoffs between data scientist and DevOps.
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Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.