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A comprehensive Rust translation of the code from Sebastian Raschka's Build an LLM from Scratch book.
agent-from-scratch is a Python-based repository designed for developers and researchers interested in understanding the inner workings of single and multi-agent systems
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a fast serving framework for large language models and vision language models.
supporting pytorch FSDP for optimizers
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Model Context Protocol Servers
Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
LLM-Merging: Building LLMs Efficiently through Merging
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Deploy your agentic worfklows to production
No-code in the front, Python in the back. An open-source framework for creating data apps.
Lumina-T2X is a unified framework for Text to Any Modality Generation
This chatbot utilizes the concept of Agentic RAG to develop an advanced chatbot that is capable of reasoning among complicated-context documents
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
Julie is a blogging assistant and linter for AI Hackers wanting to make their work more accessible
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Knowledge Agents and Management in the Cloud
OCR, layout analysis, reading order, table recognition in 90+ languages
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data …