ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
🎓 Path to a free self-taught education in Computer Science!
Claude Code за двое суток обновился три раза, 2.1.243, 2.1.245 и 2.1.246, и один пункт там важнее остальных. В 2.1.246 п
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. - Comfy-Org/ComfyUI
пошаговый учебник по созданию языковой модели уровня GPT
А вы ведь пользуетесь транскрибаторами? На самом деле это одна из самых простых и бустящих вашу продуктивность штук. Я
Наконец доехал техрепорт по DiffusionGemma. Мне нравится подход команды, они регулярно берут какую-то из базовых Gemma и
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) - hiyouga/LlamaFactory
(⭐36k) <br>
каталог готовых MCP‑серверов для ИИ‑агентов
12 Weeks, 24 Lessons, AI for All!
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The best ChatGPT that $100 can buy.
Discord
создает RAG‑приложения и чат‑ботов по своим документам
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private. - oobabooga/textgen
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A library for efficient similarity search and clustering of dense vectors.
Anthropic's Interactive Prompt Engineering Tutorial
LLM101n: Let's build a Storyteller.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A distributed multi-model LLM serving system with web UI and OpenAI-compatible RESTful APIs.
ускоряет локальный запуск и дообучение ИИ‑моделей
Search infrastructure for AI.
A lightweight, powerful framework for multi-agent workflows
Generative Models by Stability AI.
35+ runnable Jupyter-notebook tutorials covering advanced RAG techniques: chunking, query transformation/HyDE, reranking, self-RAG, graph RAG, and evaluation.
The official Python SDK for Model Context Protocol servers and clients
A Python/C#/Java library from Microsoft that supports prompt templating, function chaining, vectorized memory, and intelligent planning.
Open-source vector similarity search for Postgres.
🐍 - A high-level framework for building MCP servers in Python
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A framework for building industrial-strength applications with Transformer models and LLMs.
фреймворк Microsoft для систем из нескольких ИИ‑агентов
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org