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Beijing Institute of Technology
- Beijing, China
- https://fengyanzi.github.io/
- https://orcid.org/0009-0006-3720-608X
Stars
The ultimate training toolkit for finetuning diffusion models
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
The code for paper "EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning"
Official implementation of "Flow Based Policy for Online Reinforcement Learning"
A powerful tool for creating fine-tuning datasets for LLM
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
verl: Volcano Engine Reinforcement Learning for LLMs
mtcto / weclone
Forked from xming521/WeClone欢迎star⭐。使用微信聊天记录微调大语言模型,使用微信语音消息大模➕0.5B大模型实现高质量声音克隆,并绑定到微信机器人,实现自己的数字分身。 数字克隆/数字分身/声音克隆/LLM/大语言模型/微信聊天机器人/LoRA
《动手学大模型Dive into LLMs》系列编程实践教程
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
[CVPR 2025] 🏆Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
dogfight360 / Stop-Ask-Questions-The-Stupid-Ways
Forked from tangx/Stop-Ask-Questions-The-Stupid-WaysStop-To-Ask-Questions-The-Stupid-Ways
Download and access remote sensing data from any platform
To query a pattern on multi directed graph with label / attribute filtering efficiently, support Neo4j and SQLite3 as the storage layer.
[CVPR 2025] Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
[CVPR‘ 2025 ] JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration
[TGRS 2025] Mitigating Texture Bias: A Remote Sensing Super-Resolution Method Focusing on High-Frequency Texture Reconstruction
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models (NeurIPS 2025)
[ICCV'25] When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning
[CVPR2025 && NTIRE2025] HVI: A New Color Space for Low-light Image Enhancement (Official Implementation)