Lists (12)
Stars
A 3D Slicer extension for efficient segmentation with nnInteractive.
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
🐍 Geometric Computer Vision Library for Spatial AI
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
OpenResearcher, an advanced Scientific Research Assistant
Official repository of Evolutionary Optimization of Model Merging Recipes
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Simulations of cardiac electrophysiology with physics-informed neural networks (PINNs) in 2D and 3D geometries
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
napari: a fast, interactive, multi-dimensional image viewer for python
Machine Learning Engineering Open Book
Source code for Aladdin, a complete workflow for 3D MRI left atrium motion analysis
Official code for PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking (ICCV 2023)
Industry-strength Computer Vision workflows with Keras
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
A natural language interface for computers
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🦜🔗 Build context-aware reasoning applications
PyTorch code and models for the DINOv2 self-supervised learning method.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
