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Shanghai Jiaotong University
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A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
😎丰富生态、🧩支持扩展、🦄多模态 - 大模型原生即时通信机器人平台 | 适配 QQ / 微信(企业微信、个人微信)/ 飞书 / 钉钉 / Discord / Telegram 等消息平台 | 支持 ChatGPT、DeepSeek、Dify、Claude、Gemini、xAI Grok、Ollama、LM Studio、阿里云百炼、火山方舟、SiliconFlow、Qwen、Moonshot…
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
🎓Automatically Update CV Papers Daily using Github Actions
[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
提取微信聊天记录,将其导出成HTML、Word、Excel文档永久保存,对聊天记录进行分析生成年度聊天报告,用聊天数据训练专属于个人的AI聊天助手
A high-throughput and memory-efficient inference and serving engine for LLMs
A generative world for general-purpose robotics & embodied AI learning.
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)
Gaussian splatting implementation of Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Three.js-based implementation of 3D Gaussian splatting
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
A Unreal Engine 5 (UE5) based plugin aiming to provide real-time visulization, management, editing, and scalable hybrid rendering of Guassian Splatting model.
Google Research
High-Resolution Image Synthesis with Latent Diffusion Models
A latent text-to-image diffusion model
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Denoising Diffusion Probabilistic Models