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A latent text-to-image diffusion model
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
WebUI extension for ControlNet
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Refine high-quality datasets and visual AI models
Reference PyTorch implementation and models for DINOv3
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
ImageBind One Embedding Space to Bind Them All
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Minimal PyTorch implementation of YOLOv3
Real-time Claude Code usage monitor with predictions and warnings
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
CUDA accelerated rasterization of gaussian splatting
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling