Showing 21-32 of 32 projects
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
An open-source library for building generative multimodal AI models, with a focus on foundation models, in-context learning, and multimodal pretraining.
A Python library for probabilistic time series forecasting using large language models like LLaMA.
A GitHub repository for scGPT, a single-cell GPT model, with Jupyter Notebook and foundation-model related topics.
Comprehensive overview of Japanese Large Language Models (LLMs) for developers interested in generative AI.
A curated list of must-read papers on knowledge editing for large language models.
A curated list of resources on large language models and foundation models for time series, spatiotemporal, and event data analysis.
A general object foundation model for computer vision tasks in images and videos at scale
A curated list of foundation models for vision and language tasks, useful for vibe coders building AI-powered applications.
A library of chest X-ray datasets and models for medical AI/ML applications.
A powerful open-world object detection model for computer vision tasks, leveraging the DINO framework.
A general representation model for cross-modal learning across vision, audio, and language.
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