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DreamX-World: A General-Purpose Interactive World Model
[ICML2026] Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
verl Zero-Mismatch Dense/MoE HuggingFace Rollout
A Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations. Full lifecycle workflow with quality scoring, pedagogical review, TikZ audit, and more.
[CVPR 2026] CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning
InfiniCCL is a unified, cross-platform collective communication library designed for heterogeneous accelerator environments.
high-performance inference and serving library for interactive autoregressive video and world models
Official Codebase for "DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos" (ICML 2026)
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
Official Code of NAVA: Native Audio-Visual Alignment for Generation.
Official implementation of “Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding”.
mKernel: fast multi-node, multi-GPU fused kernels
StreamDiffusion, Live Stream APP
CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs
Warp-as-History: Generalizable Camera-Controlled Video Generation from One Training Video
A Minimal and Elegant Framework & Tutorial for Real-Time Interactive World Models
Official implementation of Paper "System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving"
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
Triton kernels and PyTorch ops for Block Attention Residuals (AttnRes)
Dataflow-Oriented Reinforcement Learning for (Multi-)Agentic LLMs