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Memory-efficient multi layer perceptron implementation in OpenAI Triton.
GPU programming related news and material links
Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI (Kunlun Inc.), specializing in vision-language reasoning.
Video-R1: Reinforcing Video Reasoning in MLLMs [🔥the first paper to explore R1 for video]
SkyReels-V2: Infinite-length Film Generative model
Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"
Official PyTorch implementation for "Large Language Diffusion Models"
Ring attention implementation with flash attention
verl: Volcano Engine Reinforcement Learning for LLMs
PyTorch library for cost-effective, fast and easy serving of MoE models.
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
A curated list of Multi-Modal Reinforcement Learning resources (continually updated)
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.
[TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation.
[ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
Wan: Open and Advanced Large-Scale Video Generative Models
A collection of awesome video generation studies.
An analytical performance modeling tool for deep neural networks.
Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model