Stars
A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)
Paper List for Prototypical Learning
This is a list of awesome prototype-based papers for explainable artificial intelligence.
A browser extension for automating your browser by connecting blocks
Integrate the DeepSeek API into popular softwares
A powerful tool for creating fine-tuning datasets for LLM
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Toolkit for large-scale whole-slide image processing.
An example starter repo for Python projects
Multimodal prototyping for cancer survival prediction - ICML 2024
HistoQC is an open-source quality control tool for digital pathology slides
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
A Large Language-Vision Assistant for Pathology Image Understanding (BIBM-2024 & Journal of Artificial Intelligence Review 2025)
pipeline that converts Deepcell generated instance segmentation masks of nuclei from an ome-tiff to Cell Objects with auto-generated cytoplasms in QuPath
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
[CIBM 2024] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
A game theoretic approach to explain the output of any machine learning model.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Machine Learning Q and AI book
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.