Stars
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Multimodal AI agent with Llama 3.2: A Streamlit app that processes text, images, PDFs, and PPTs, integrating NIM microservices, Milvus, and Llama-3.2 models.
Papers from the computer science community to read and discuss.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🔥Highlighting the top ML papers every week.
Learn System Design concepts and prepare for interviews using free resources.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated list of engineering blogs
A Data Structure Algorithms Low Level Design and High Level Design collection of resources.
These are the best resources for System Design on the Internet
Learn how to design systems at scale and prepare for system design interviews
Building Essence Towards Personalized Knowledge Model - PKM
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
📺 Discover the latest machine learning / AI courses on YouTube.
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
binlecode / baeldung-java-tutorials
Forked from eugenp/tutorialsThe "REST With Spring" Course:
Pytorch port of Google Research's VGGish model used for extracting audio features.
Reading list for research topics in multimodal machine learning
😎 A curated list of awesome MLOps tools
♾️ CML - Continuous Machine Learning | CI/CD for ML
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".