transformers

多模态情绪识别方法研究（Multimodal Emotion Recognition）

[2025] ModalFormer: Multimodal Transformer for Low-Light Image Enhancement

Train transformer-based models.

Distributed peer-to-peer LLM inference. Your prompt never leaves your device in clear text.

Real-time visualization of sentiment analysis on text input

Export and Run Hugging Face Transformers Models on Rockchip NPUs

A set of jupyter notebooks

Generate README.md with GPT-3 few-shot learning

Python SDK for Agent Vector Protocol – transfer KV-cache between LLM agents instead of text

This repository contains the source codes of the paper -- Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

Training-free KV cache compression via E8 lattice VQ. 2-bit KV that preserves retrieval (30/30 NIAH vs TurboQuant 0/30). Calibration-free, 9 architectures validated.

A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.

Implementation for the different ML tasks on Kaggle platform with GPUs.

OCR system for handwritten medical prescriptions using Donut transformer and zero-shot classification

Application for playing Quickdraw powered by a Vision Transformer

Lightweight representation engineering dataflow operations for agent developers.

Build a Large Language Model From Scratch

Text simplification for a better world: Deep-Martin Transformer 🤗

AstorAI is a user-friendly medical chatbot powered by Retrieval-Augmented Generation (RAG) and the advanced LLama 3 model. It offers real-time, accurate responses to a wide range of medical queries, ensuring privacy and security in every interaction. Designed for ease of use, AstorAI provides reliable health information on various topics 24/7.

[ICIP 2025] Official implementation of RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement