Stars
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
Janus-Series: Unified Multimodal Understanding and Generation Models
Fully open reproduction of DeepSeek-R1
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
Next Generation Visual Programming System
Master programming by recreating your favorite technologies from scratch.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Implementing the 4 agentic patterns from scratch
🙈 Volkswagen detects when your tests are being run in a CI server, and makes them pass.
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Things you can do with the token embeddings of an LLM
Go-blueprint allows users to spin up a quick Go project using a popular framework
Standard Go Project Layout
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Supercharge Your LLM Application Evaluations 🚀
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…
Official inference repo for FLUX.1 models
An extremely fast Python package and project manager, written in Rust.
The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte
A natural language interface for computers
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highli…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Video+code lecture on building nanoGPT from scratch
大模型算法岗面试题(含答案):常见问题和概念解析 "大模型面试题"、"算法岗面试"、"面试常见问题"、"大模型算法面试"、"大模型应用基础"