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Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
AI tech news crawler that summarizes what's trending based on your preferences
[EMNLP 2024 Demo] TinyAgent: Function Calling at the Edge!
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Notion-style WYSIWYG editor with AI-powered autocompletion.
A fork of OpenAI Swarm that supports Groq and Anthropic
Front End interview preparation materials for busy engineers (updated for 2026)
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
๐ A better UX for chat, writing content, and coding with LLMs.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
An intelligent assistant for querying and analyzing real estate condo data in Miami.
GenAI career assistant
A reactive notebook for Python โ run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
clikan is a super simple personal kanban board that runs in a CLI
Top JavaScript interview questions and answers for Frontend Engineers (updated for 2026)
Quantamental finance research with python
o1-engineer is a command-line tool designed to assist developers in managing and interacting with their projects efficiently. Leveraging the power of OpenAI's API, this tool provides functionalitieโฆ
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines
Best Practices on Recommendation Systems
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
๐ฅHighlighting the top ML papers every week.
Sweep: AI coding assistant for JetBrains