artificial-intelligence

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime.

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

The simplest way to serve AI/ML models in production

An implementation of Performer, a linear attention-based transformer, in Pytorch

🌎💎 개발자들의 첫 번째 북마크

Create, Evaluate, and Connect AI Skills

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation

[ACL 2023] Reasoning with Language Model Prompting: A Survey

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.

Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.

Machine Learning Q and AI book

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)