最有价值项目

GPU Service Manager for LLM workloads on Linux/NVIDIA systems.

让 MinerU 在 AMD 显卡上以 vLLM + hybrid-auto-engine 满血运行！ 本项目是对官方文档中 AMD/ROCm 生态支持的有效补充。针对 MinerU 3.x 提供了一套完整的 ROCm 7.x + PyTorch 2.11.0 + vLLM 源码编译与部署方案，解析质量与速度对标 NVIDIA 旗舰显卡。

Run DeepSeek-V4-Flash 304B on a single NVIDIA GB10 / DGX Spark - 2-bit MoE planes, FP4 quality recovery, speculative decoding

The Continuous Verification and Optimization layer for self-hosted LLMs

SAM — Smart Agentic Model: CLI coding agent for open-source LLMs. pip install sam-agent

AI hardware fit calculator for LLM, embedding, reranker, OCR and VLM workloads — VRAM, throughput, licensing and multi-GPU planning

CI scripts designed to build a Pascal-compatible version of vLLM.

A simple custom QLoRA implementation for fine-tuning a language model (LLM) with basic tools such as PyTorch and Bitsandbytes, completely decoupled from Hugging Face.

Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.

Natural Language to SQL

Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions. Code for the paper Generating Diverse and Meaningful Captions: Unsupervised Specificity Optimization for Image Captioning (Lindh et al., 2018).

Code for paper "Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation" (ICLR'24)

Fine tuning a text generation model using the GPT-2 architecture and a csv dataset

Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.

T5 Fine-tuning on SQuAD Dataset for Question Generation

A curated full-stack LLM engineering playbook — from AI infrastructure and model lifecycle to agents, MCP, memory, and evaluation.

AstraPix is an AI image generation platform using advanced Replicate models for text-to-image and image editing, featuring OAuth/GitHub login and Razorpay-powered token payments for premium features.

chew through any source into clean datasets! a fast ingestion, RAG & fine-tuning toolkit

Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI2024)

🍯 自进化 AI 能力研究平台：蜜罐系统 → 沙箱评测引擎 → 训练数据集与 LoRA 微调流水线 / Self-Evolving AI Security Research Platform