Zero Shot Learning

Vision TransformerJupyter Notebook

Official JAX/Flax implementation of Vision Transformer (ViT) and MLP-Mixer for image recognition, with pre-trained models.

Awesome Domain Adaptation

A curated collection of papers, code, and resources for domain adaptation in machine learning.

Scikit-LLMPython

Seamlessly integrate large language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

The Schema-Guided Dialogue DatasetPython

A large-scale multi-domain dataset of over 20k annotated task-oriented dialogues for training and evaluating virtual assistants.

CONCHPython

A vision-language foundation model for computational pathology, pretrained on 1.17M histopathology image-caption pairs for diverse AI tasks.

UCEPython

A zero-shot foundation model for generating universal embeddings from single-cell gene expression data.

scPRINTJupyter Notebook

A large transformer foundation model for single-cell RNA sequencing data analysis, including gene network inference, denoising, and cell annotation.