Low-bit LLM inference on CPU with lookup table

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

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

YOLOv10: Real-Time End-to-End Object Detection

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.

Particle Video Revisited

Neuroimaging analysis and visualization suite

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

MONAI Label is an intelligent open source image labeling and learning tool.

👋 Xplique is a Neural Networks Explainability Toolbox

Model interpretability and understanding for PyTorch

Library to compute surface distance based performance metrics for segmentation tasks.