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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, d…
Convert PDF to markdown + JSON quickly with high accuracy
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Industry leading face manipulation platform
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Train your AI self, amplify you, bridge the world
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
Simple, unified interface to multiple Generative AI providers
Enjoy the magic of Diffusion models!
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
An easy way to extract information from documents
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023)
🥰 Building AI-based conversational avatars lightning fast ⚡️💬