Psy-Insight: Mental Health Oriented Interpretable Multi-turn Bilingual Counseling Dataset for Large Language Model Finetuning

Official Repository of Paper: "SynParaSpeech: Automated Synthesis of Paralinguistic Datasets for Speech Generation and Understanding"

《labuladong的算法小抄》顺序阅读版

Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.

ACE-Step: A Step Towards Music Generation Foundation Model

Implementation of Nougat Neural Optical Understanding for Academic Documents

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

helper functions for processing and integrating visual language information with Qwen-VL Series Model

Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 30+ benchmarks

VideoAuteur: Towards Long Narrative Video Generation

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)

[NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*

An Open-source RL System from ByteDance Seed and Tsinghua AIR

verl: Volcano Engine Reinforcement Learning for LLMs

LLaSA: Scaling Train-time and Inference-time Compute for LLaMA-based Speech Synthesis

[ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou

[CVPR 2025 🔥]A Large Multimodal Model for Pixel-Level Visual Grounding in Videos

Lets make video diffusion practical!

Video-R1: Reinforcing Video Reasoning in MLLMs [🔥the first paper to explore R1 for video]

Witness the aha moment of VLM with less than $3.

Research code for ACL2024 paper: "Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline"

Video translation and dubbing tool powered by LLMs. The video translator offers 100 language translations and one-click full-process deployment. The video translation output is optimized for platfo…

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

Frontier Multimodal Foundation Models for Image and Video Understanding