Open source tools for computational pathology - Nature BME

Neural Networks: Zero to Hero

Fully open reproduction of DeepSeek-R1

Official Code for PathLDM: Text conditioned Latent Diffusion Model for Histopathology (WACV 2024)

Multimodal Whole Slide Foundation Model for Pathology

A vision-language foundation model for computational pathology - Nature Medicine

📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological classification of lung cancer types by deep learning".

Towards a general-purpose foundation model for computational pathology - Nature Medicine

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

Synthetic histology using GANs, for deep learning model explainability and trainee education.

[NAACL 2025] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models

Concept-based generative models

Awesome-LLM: a curated list of Large Language Model

Hysteria is a powerful, lightning fast and censorship resistant proxy.

Continual Learning of Large Language Models: A Comprehensive Survey

Diffusion attentive attribution maps for interpreting Stable Diffusion.

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

collection of diffusion model papers categorized by their subareas

AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） Stable diffusion、AnimateDiff、Stable Cascade 、Stable SDXL Turbo

Stable Diffusion with Core ML on Apple Silicon

Segment Anything in Medical Images