Explore live open-source projects and AI models.

A transparent PyTorch micro-framework for pragmatic research code. Comes with a terminal-based IDE for stateful and iterative debugging.

Reinforcement Calibration SimCSE, combining contrastive learning, artificial potential fields, perceptual loss, and RLHF to achieve improved Semantic Textual Similarity (STS) embeddings. PyTorch-based implementations of PerceptualBERT and ForceBasedInfoNCE, along with fine-tuning capabilities via... Read more

Chinese-Multimodal-Sentiment-Analysis is an innovative project that integrates advanced deep learning techniques to analyze sentiments in Chinese language data. Utilizing a sophisticated blend of textual, audio, and visual modalities, this project offers a comprehensive approach to understanding ... Read more

A powerful cross-modal RAG system that seamlessly integrates text and image retrieval for enhanced information access. Built with advanced embedding techniques, it enables unified search and generation across modalities, making it ideal for applications requiring deep understanding of both visual... Read more

Well, who needed another serialization format? Not me, but that's what I've made. Ruby Object Notation (Ron) is a textual format for the representation of Ruby data structures. It's somewhat like YAML, XML, or (most of all) JSON. However, since it is defined entirely within and as a subset of Ru... Read more

Knowledge Graph Embeddings (KGE) to implement Explainable Artificial Intelligence. As AI develops users must know how algorithms make their decisions, especially for hazardous tasks such as driverless cars. Knowledge graphs are an inherently understandable form of text-based data created as an in... Read more