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🌐 Make websites accessible for AI agents. Automate tasks online with ease.
A curated directory of free and friendly communities to showcase your side projects!
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instance that lets you automate the web without worrying about infrastructure.
Automate browser-based workflows with LLMs and Computer Vision
Repository for the book: Automated Agents
Open Source Alternative to Vercel, Netlify and Heroku.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets
Supercharge Your LLM Application Evaluations 🚀
All-in-one desktop app for running LLMs locally.
2D Positional Embeddings for Webpage Structural Understanding 🦙👀
Sync notes between local and cloud with smart conflict: S3 (Amazon S3/Cloudflare R2/Backblaze B2/...), Dropbox, webdav (NextCloud/InfiniCLOUD/Synology/...), OneDrive, Google Drive (GDrive), Box, pC…
Obsidian plugin that synchronize vault with an S3 bucket
</> htmx - high power tools for HTML
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
A guidance language for controlling large language models.
Apify command-line interface helps you create, develop, build and run Apify actors, and manage the Apify cloud platform.
🦔 PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.
Lecture notes and code for Machine Learning practical course on CMC MSU
Решения вступительных заданий в Школу анализа данных (ШАД)
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream