Beast code in Giters

周欣鹏's starred repositories

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Language:CNOASSERTION21606 486 8281

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Language:PythonNOASSERTION12989 112 853

Omost

Your image is almost there!

Language:PythonApache-2.06985 44 70

awesome-3D-gaussian-splatting

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.

MIT5269 244 51

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

Language:CNOASSERTION1978 50 73

MobileNet-Yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Language:CNOASSERTION1702 34 34

Awesome-Video-Diffusion-Models

[Arxiv] A Survey on Video Diffusion Models

1576 50 13

IceCMS

🌈冰激凌内容管理系统🍦,实现MacWK资源站，社区图片视频圈子CMS，支持网页端移动端小程序🌟适合做资讯商城，社区论坛，聊天交友社区，博客，圈子，论坛，图片，视频，社交。

Language:VueAGPL-3.01473 14 22

llm-colosseum

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

Language:Jupyter NotebookMIT1272 20 27

GaussianEditor

[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

Language:C++NOASSERTION1010 25 54

PhysGaussian

[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Language:Python969 50 29

gaustudio

A Modular Framework for 3D Gaussian Splatting and Beyond

Language:Jupyter NotebookMIT952 40 39

llm-hallucination-survey

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

869 12 3

Yolo-FastestV2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Language:Python792 16 76