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

Depthmap fusion with depth and normal consistency check

🏡 Open source home automation that puts local control and privacy first.

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Deepfakes Software For All

real time face swap and one-click video deepfake with only a single image

[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.

IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

A curated list of awesome Deep Stereo Matching resources

A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

📚 Freely available programming books

[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>

🏠 将小爱音箱接入 ChatGPT 和豆包，改造成你的专属语音助手。

📚 极客时间电子书

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

OpenUI let's you describe UI using your imagination, then see it rendered live.

A minimal GPU design in Verilog to learn how GPUs work from the ground up

Instant voice cloning by MIT and MyShell.

LLM training in simple, raw C/CUDA

Official repository for the ICLR 2024 paper "Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition".

🙌 OpenHands: Code Less, Make More

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite