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The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetin…
The agent that grows with you
分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
[HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.
Wan: Open and Advanced Large-Scale Video Generative Models
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
[ICCV 2025] Official implementations for paper: VACE: All-in-One Video Creation and Editing
Wan: Open and Advanced Large-Scale Video Generative Models
HunyuanVideo: A Systematic Framework For Large Video Generation Model
FlashInfer: Kernel Library for LLM Serving
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Official implementation of the paper "Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content".
[CVPR 2025] VideoWorld is a simple generative model that learns purely from unlabeled videos—much like how babies learn by observing their environment.
Distributed Compiler based on Triton for Parallel Systems
Open-Sora: Democratizing Efficient Video Production for All
Summary of the Specs of Commonly Used GPUs for Training and Inference of LLM
Several simple examples for popular neural network toolkits calling custom CUDA operators.
No fortress, purely open ground. OpenManus is Coming.
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…
A simple calculation for LLM MFU.
LLM Frontend for Power Users.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Fully open reproduction of DeepSeek-R1