-
Tsinghua University
- Beijing
-
12:34
(UTC +08:00)
Stars
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
Native and Compact Structured Latents for 3D Generation
PowerPoint .NET library for reading, modifying, and generating PPTX presentations without Microsoft Office
Create or Modify Power Point/Presentation (pptx), Excel/Spreadsheet (xlsx) & Word/Document (docx) file with ease in Rust, C#, Python🚧⚒️, Java🚧⚒️,Go🚧⚒️ or Typescript🚧⚒️
Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped…
AI Agent + Coding Agent + 300+ assistants: agentic AI desktop with autonomous coding, intelligent automation, and unified access to frontier LLMs.
一个基于 Android 调试 API + 百度地图实现的虚拟定位工具,并且同时实现了一个可以自由移动的摇杆
Implementation of "Hyperspherical Latents Improve Continuous-Token Autoregressive Generation"
JittorInfer is a high-performance C++ inference framework designed for large language models on Huawei's Ascend AI processor.
Vector (and Scalar) Quantization, in Pytorch
[ICCV 2025] SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
[NeurIPS 2025] Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
[SIGGRAPH 2025] One Model to Rig Them All: Diverse Skeleton Rigging with UniRig
[CVPR 2025 Highlight] Official implementation of "Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters"
FlashMLA: Efficient Multi-head Latent Attention Kernels
SGLang is a high-performance serving framework for large language models and multimodal models.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Machine Learning Engineering Open Book
[ECCV 2024] Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation - MMDMC Dataset
PyTorch implementation of the paper : Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation.
C++ header-only library for simple serialization/deserialization of VRM 1.0
codes for paper "Pose-aware Attention Network for Flexible Motion Retargeting by Body Part" (TVCG2023)