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GitHub
AI Infra·2013
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Kibana

Elastic

Provides a browser-based interface to query, analyze, visualize, and manage data stored in Elasticsearch. Offers dashboards, interactive visualizations, search/discover, geospatial maps, alerting, and built-in ML/AI features such as natural-language search and an assistant. Suited for observability, security analytics, and operational monitoring on Elasticsearch clusters.

#typescript#github#ai#mlops#ai-tools
GitHub
AI Others·2017
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roadmap.sh (Developer Roadmap)

nilbuild, roadmap.sh community

Interactive, community-driven learning roadmaps and guides that map skills, technologies, and curated resources for developer career paths — covering frontend, backend, DevOps, ML/AI, MLOps, prompt engineering and more. Clickable nodes link to tutorials, best practices and question banks to guide study and hiring prep.

#github#ai#ai-development#mlops#prompt-engineering+1
Machine Learning Foundation Papers·2019

The Bitter Lesson

Rich Sutton

A 2019 essay arguing that over 70 years of AI, general methods that scale with computation — search and learning — consistently beat hand-coded human knowledge. The short text that crystallized the scaling-vs-priors debate.

#ai#foundation#blog
GitHub
AI Infra·2019
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Supabase

Supabase

Provides a hosted or self-hosted Postgres platform that exposes database, auth, realtime subscriptions, file storage, serverless functions, and auto-generated REST/GraphQL APIs. Includes an AI & vector/embeddings toolkit and modular client libraries for building web, mobile and AI applications without stitching multiple vendors.

#postgres#embeddings#ai#ai-development#typescript+2
Machine Learning Foundation Tutorials·2020

An Opinionated Guide to ML Research

John Schulman

Career advice for ML researchers from the creator of TRPO and PPO: how to pick problems worth solving, why goal-driven beats idea-driven research, and the daily notebook-and-review habit that compounds small experiments into breakthroughs.

#blog#ai#foundation#tutorial
GitHub
Machine Learning Foundation Tutorials·2021
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Artificial Intelligence for Beginners - A Curriculum

Dmitry Soshnikov, Jen Looper +3·Microsoft

A 12-week, 24-lesson beginner-friendly AI curriculum with executable Jupyter notebooks, quizzes and labs that teach neural networks, computer vision, NLP, generative models and ethics using PyTorch and TensorFlow examples.

#course#pytorch#python#nlp#vision+5
Hugging Face
AI Dataset·2022
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prompts.chat (Awesome ChatGPT Prompts)

fka

Community-curated collection of ChatGPT-style prompts mirrored as a Hugging Face dataset; organized by task and model compatibility for quick reuse. Useful for prompt engineering, text-generation prototyping, and building conversational examples across multiple LLMs.

#prompt-engineering#chatbot#chatgpt#llm#ai+3
GitHub
AI Client·2023
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Files.md

zakirullin

Browser-first, local-first note app that stores your notes as plain Markdown files and offers a chat-like input flow. LLM-friendly file structure, offline-capable PWA, and Telegram bot integration — data stays on your device unless you enable syncing.

#chatbot#ai-tools#LLM#github#go+3
GitHub
AI Client·2023
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Ghost Downloader

XiaoYouChR

Cross-platform downloader that uses AI-assisted chunking and acceleration to improve success rates across protocols. Supports HTTP/FTP/M3U8/MPEG‑DASH/Magnet/BT plus YouTube/Bilibili parsing, a browser extension, aria2-compatible RPC and an Android client — aimed at multi-protocol, long-running and streaming download tasks.

#python#github#ai#ai-tools#plugin+2
GitHub
AI Client·2024
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Magic Resume

Siyue (JOYCEQL)

Web-based resume editor with real-time preview, custom themes, dark mode, auto-save and PDF export, plus built-in AI-assisted writing and a custom model for polishing content. Open-source under Apache-2.0 but requires a commercial license for paid/enterprise use.

#typescript#ai-tools#ai-client#ai#github+1
GitHub
AI Client·2024
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amazon-q-developer-cli

Amazon Web Services (AWS)

Brings an agentic chat experience to the terminal: describe a task in natural language and it plans, edits files, and runs commands to build the app. Written in Rust, ships on macOS and Linux. Now succeeded by the closed-source Kiro CLI.

#aws#cli#rust#ai#llm+5
GitHub
Machine Learning Foundation Books·2024
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AI Engineering (AIE) — book and companion resources

Chip Huyen

Companion resources for Chip Huyen's AI Engineering book: chapter summaries, study notes, prompt examples, case studies, and a few analysis scripts. Focuses on engineering practices for adapting foundation models to production rather than step-by-step code tutorials.

#book#gitHub#prompt-engineering#RAG#llm+5
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