Companion code for the global workspace interpretability paper

Nominal's open-source library for hardware test instrumentation

Wondel.ai Agent Skills — Business, Marketing, UX & Coding Frameworks from Bestselling Books. 50 skills + 12 guided journeys for Claude Code, Codex, Cursor & other agentskills.io agents.

Model Context Protocol Servers

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases

LLM Council works together to answer your hardest questions

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

Ralph is an autonomous AI agent loop that runs repeatedly until all PRD items are complete.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

A curated list of radiology report generation (medical report generation) and related areas. :-)

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…

📘 Automatic documentation from sources, for MkDocs.

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

Tracking and collecting papers/projects/others related to Segment Anything.

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

SAM with text prompt

Official implementation of Instance-wise and Center-of-Instance (ICI) segmentation loss

Brain Imaging Analysis Kit

Outlier Detection for Mammograms

Harmonization of multi-shell diffusion MRI, an enhancement of https://github.com/pnlbwh/dMRIharmonization

Whole-body MR to CT image mapping

[ICCV 2023] A latent space for stochastic diffusion models

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Install Conda and friends on Google Colab, easily

PyMC3 educational resources

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Segment Anything in Medical Images

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